{"id": "JT3K-000722", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "creator-tools", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000633", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: cms-platform. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001400", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: payments-api. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002490", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000777", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Plan a repair loop", "domain": "fintech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: dashboard-web. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001488", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "ecommerce", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: scheduler. Domain: ecommerce. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002886", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "ecommerce", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: payments-api. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001088", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "fintech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: payments-api. Domain: fintech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000869", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "infra", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: infra. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-000742", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "fintech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: chat-agent. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002038", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "healthtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002427", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "hard", "title": "Trace missing rows", "domain": "developer-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: chat-agent. Domain: developer-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000499", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "developer-tools", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000918", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002465", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "developer-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: analytics-core. Domain: developer-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002792", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Find hidden coupling", "domain": "edtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: cms-platform. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001804", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "ecommerce", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000744", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000553", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "developer-tools", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: auth-service. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002464", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "fintech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002023", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "edtech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: scheduler. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000730", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "healthtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: analytics-core. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002996", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "creator-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000954", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "saas", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: mobile-sdk. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000026", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002059", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "creator-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002134", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001162", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "infra", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: ml-pipeline. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001803", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "developer-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000321", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "developer-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002547", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: auth-service. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001942", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "infra", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: scheduler. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001094", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "healthtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001934", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "infra", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: payments-api. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000636", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "fintech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: chat-agent. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002949", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Write tests before implementation", "domain": "saas", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: chat-agent. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000927", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "developer-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: cms-platform. Domain: developer-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001061", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "creator-tools", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001510", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "saas", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: payments-api. Domain: saas. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002909", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "fintech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: analytics-core. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001558", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test form validation", "domain": "healthtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: dashboard-web. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000466", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "creator-tools", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002213", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ml-pipeline. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000902", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "healthtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000616", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "hard", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000956", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "infra", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ecommerce-backend. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002604", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "healthtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001936", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002687", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "healthtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000613", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: payments-api. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000654", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: payments-api. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002206", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002230", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "infra", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000226", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001861", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "saas", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: scheduler. Domain: saas. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001591", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "hard", "title": "Design audit tables", "domain": "saas", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: analytics-core. Domain: saas. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001774", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-002337", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "developer-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: auth-service. Domain: developer-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000522", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "edtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: scheduler. Domain: edtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000102", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002399", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "ecommerce", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: scheduler. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002794", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "creator-tools", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001181", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Trace state across components", "domain": "saas", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ml-pipeline. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000530", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Handle empty payloads", "domain": "ecommerce", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000849", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "healthtech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: cms-platform. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002871", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "developer-tools", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: auth-service. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000495", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "edtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002322", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "ecommerce", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001583", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "developer-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000566", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "edtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: chat-agent. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002992", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Find hidden coupling", "domain": "fintech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: payments-api. Domain: fintech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001994", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "developer-tools", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000229", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "infra", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: mobile-sdk. Domain: infra. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000883", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "developer-tools", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001365", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "hard", "title": "Trace missing rows", "domain": "developer-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: scheduler. Domain: developer-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002842", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "creator-tools", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: payments-api. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000967", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "developer-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: payments-api. Domain: developer-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000710", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "hard", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: scheduler. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002415", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Trace state across components", "domain": "infra", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: chat-agent. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000461", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "ecommerce", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: auth-service. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002395", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Write tests before implementation", "domain": "ecommerce", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: payments-api. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000901", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: scheduler. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002013", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "healthtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002542", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Plan rate limiting", "domain": "developer-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000446", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000805", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review an API client", "domain": "saas", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: dashboard-web. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002066", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "edtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: chat-agent. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000206", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "ecommerce", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001131", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "fintech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001791", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "hard", "title": "Plan migration checks", "domain": "ecommerce", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002549", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "creator-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002520", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: chat-agent. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000715", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Trace state across components", "domain": "fintech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: payments-api. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001668", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "developer-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: chat-agent. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001203", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "hard", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000664", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "hard", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000041", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "developer-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: payments-api. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000529", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: cms-platform. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000441", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "fintech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001748", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "saas", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: mobile-sdk. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002805", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "hard", "title": "Extract reusable hook", "domain": "developer-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: scheduler. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000893", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "creator-tools", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002965", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001028", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "infra", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: chat-agent. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001821", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "developer-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001682", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "infra", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: cms-platform. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000430", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Design a service interface", "domain": "fintech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: chat-agent. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000261", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "edtech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: analytics-core. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002916", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001705", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "saas", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: dashboard-web. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002030", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "edtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002797", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: scheduler. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001192", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "developer-tools", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000813", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002710", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "developer-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002055", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "creator-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001613", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "saas", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: scheduler. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002785", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000076", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "creator-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: cms-platform. Domain: creator-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000596", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "hard", "title": "Extract reusable hook", "domain": "saas", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001990", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test form validation", "domain": "saas", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: payments-api. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001252", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "hard", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001047", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000858", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "edtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: dashboard-web. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001470", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "fintech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: cms-platform. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002929", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: auth-service. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001658", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Fix stale closure", "domain": "healthtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002391", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "creator-tools", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: scheduler. Domain: creator-tools. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002999", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "creator-tools", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001454", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "healthtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002156", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "infra", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: chat-agent. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001089", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "healthtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001809", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "edtech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: cms-platform. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001724", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: dashboard-web. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001349", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "hard", "title": "Reduce duplication", "domain": "infra", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: cms-platform. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000391", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "ecommerce", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: auth-service. Domain: ecommerce. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000971", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "creator-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002606", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001444", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000052", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "healthtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: chat-agent. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001989", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "developer-tools", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002063", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "infra", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: analytics-core. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001302", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002043", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000943", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000712", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "fintech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: cms-platform. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001270", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "fintech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: ml-pipeline. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002631", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "creator-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000020", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "edtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ml-pipeline. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000947", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test a formatter", "domain": "creator-tools", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002538", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000848", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "hard", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000409", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Diagnose a race condition", "domain": "edtech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: cms-platform. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000911", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "ecommerce", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002425", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "ecommerce", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002933", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: payments-api. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000531", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "creator-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001754", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: dashboard-web. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002513", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: chat-agent. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002382", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "ecommerce", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002986", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "ecommerce", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002872", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002608", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Fix stale closure", "domain": "edtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001380", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "saas", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: chat-agent. Domain: saas. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002972", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "developer-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: payments-api. Domain: developer-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001733", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test a formatter", "domain": "healthtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: payments-api. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001773", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "healthtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001584", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "fintech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: analytics-core. Domain: fintech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001628", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "infra", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: analytics-core. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001562", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "creator-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000537", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: cms-platform. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002791", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "infra", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: mobile-sdk. Domain: infra. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001952", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "saas", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001586", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "fintech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: auth-service. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000932", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "edtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: dashboard-web. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002203", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001890", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: payments-api. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002628", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "developer-tools", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002832", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "developer-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: chat-agent. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002434", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "healthtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000227", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "fintech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: cms-platform. Domain: fintech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-002716", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001256", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000319", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "hard", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: analytics-core. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002851", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "creator-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000774", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: payments-api. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-002187", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "infra", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ml-pipeline. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002294", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "creator-tools", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002837", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "infra", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: analytics-core. Domain: infra. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-002557", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: cms-platform. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002225", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "developer-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: auth-service. Domain: developer-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002783", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "fintech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: scheduler. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000859", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "developer-tools", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002289", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "creator-tools", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000610", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "ecommerce", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000660", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002287", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "ecommerce", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002657", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "infra", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: cms-platform. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000559", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "saas", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: payments-api. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001148", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "hard", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001714", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002057", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000064", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test form validation", "domain": "fintech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: chat-agent. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001525", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: auth-service. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000128", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "developer-tools", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002669", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ml-pipeline. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001504", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "edtech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: auth-service. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001718", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: auth-service. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001076", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "ecommerce", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: auth-service. Domain: ecommerce. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002320", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002970", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Write tests before implementation", "domain": "creator-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000916", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002772", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: chat-agent. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002118", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: scheduler. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002921", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Find hidden coupling", "domain": "edtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: chat-agent. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001325", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "creator-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001779", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "fintech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: cms-platform. Domain: fintech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001420", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: dashboard-web. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000923", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "ecommerce", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001353", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "hard", "title": "Improve readability", "domain": "creator-tools", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000234", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002441", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "ecommerce", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000023", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "creator-tools", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002829", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "healthtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002849", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "saas", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: chat-agent. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001392", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "creator-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002033", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "edtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: mobile-sdk. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002537", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: payments-api. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001891", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "creator-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: chat-agent. Domain: creator-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001205", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000688", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "infra", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: auth-service. Domain: infra. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002051", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "fintech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: fintech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-000237", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: auth-service. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-002748", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002700", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: chat-agent. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000371", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "healthtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000127", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "developer-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: payments-api. Domain: developer-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000433", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "healthtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001651", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: analytics-core. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000494", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "creator-tools", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000145", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "fintech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: cms-platform. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001983", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "creator-tools", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001023", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "ecommerce", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000077", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "infra", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: payments-api. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002899", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "healthtech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000028", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "edtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: scheduler. Domain: edtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002463", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "developer-tools", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001835", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "saas", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ecommerce-backend. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002616", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: chat-agent. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001499", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "edtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: payments-api. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000571", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "fintech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: auth-service. Domain: fintech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000931", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "healthtech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000368", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "hard", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001786", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "healthtech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002016", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: auth-service. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000283", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "creator-tools", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000863", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "fintech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000122", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "fintech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: chat-agent. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000855", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "healthtech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002881", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "hard", "title": "Simplify reducer logic", "domain": "developer-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: chat-agent. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002246", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "developer-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001042", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "infra", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: cms-platform. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001711", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test a formatter", "domain": "creator-tools", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: scheduler. Domain: creator-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001516", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "infra", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002424", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "healthtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-000647", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "infra", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: payments-api. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001212", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "saas", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: cms-platform. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002443", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "edtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002180", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "infra", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: payments-api. Domain: infra. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000880", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "saas", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: payments-api. Domain: saas. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001960", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: payments-api. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000199", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "creator-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000689", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Identify the file to change for feature X", "domain": "ecommerce", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000132", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000385", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000294", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "fintech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002751", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: scheduler. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002396", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "infra", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000831", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "infra", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002769", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000666", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "developer-tools", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: payments-api. Domain: developer-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002344", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "healthtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: dashboard-web. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002828", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "infra", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002502", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "healthtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001251", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: scheduler. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001300", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "creator-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001340", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "infra", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: chat-agent. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002649", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "edtech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: payments-api. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000983", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "fintech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: payments-api. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001106", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001414", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000953", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "healthtech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001381", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: payments-api. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-002983", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "hard", "title": "Split a large function", "domain": "edtech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: analytics-core. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000309", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "saas", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: auth-service. Domain: saas. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001408", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002341", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "creator-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001068", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "developer-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002948", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000998", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "healthtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001418", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: payments-api. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001429", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: ml-pipeline. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001918", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "saas", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: dashboard-web. Domain: saas. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-002588", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "developer-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002876", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: auth-service. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001333", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "healthtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002981", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Trace state across components", "domain": "saas", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: scheduler. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000738", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000203", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001780", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "edtech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002373", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001875", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "edtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001154", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000140", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "fintech", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001298", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "fintech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: payments-api. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001084", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "creator-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: analytics-core. Domain: creator-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000842", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "saas", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000043", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002937", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002290", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test a formatter", "domain": "edtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: ml-pipeline. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002201", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "healthtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000413", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000854", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Diagnose promise flow", "domain": "ecommerce", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002144", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "edtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: auth-service. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001580", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "saas", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: analytics-core. Domain: saas. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000092", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Map the flow of a request through the service", "domain": "infra", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: payments-api. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000621", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "fintech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: auth-service. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001823", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "developer-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001005", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000143", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "healthtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: scheduler. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002756", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002811", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "ecommerce", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: payments-api. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001220", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000121", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "healthtech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002169", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000213", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: cms-platform. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002890", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "edtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000156", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "ecommerce", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: payments-api. Domain: ecommerce. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000155", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "developer-tools", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000050", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Find hidden coupling", "domain": "edtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: payments-api. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001634", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001303", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: payments-api. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000118", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002491", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "saas", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: mobile-sdk. Domain: saas. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001153", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "edtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: cms-platform. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002971", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: cms-platform. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001423", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "developer-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000959", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "healthtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002123", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "saas", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: analytics-core. Domain: saas. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001374", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-002798", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "saas", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002987", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: dashboard-web. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000997", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-002522", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "creator-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002730", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "healthtech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: analytics-core. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002878", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "creator-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: scheduler. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002835", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Guard null props", "domain": "ecommerce", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: payments-api. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001475", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002624", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000490", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "fintech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: payments-api. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001723", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "infra", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: payments-api. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002462", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "saas", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: analytics-core. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000912", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "edtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: payments-api. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001816", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "infra", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: payments-api. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001345", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "saas", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000973", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002211", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test form validation", "domain": "ecommerce", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002097", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000955", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "ecommerce", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000728", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "saas", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: auth-service. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000024", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: cms-platform. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002094", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "fintech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: cms-platform. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000753", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "edtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: analytics-core. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002087", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "healthtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: payments-api. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002947", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: cms-platform. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001096", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: scheduler. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002648", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "ecommerce", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: cms-platform. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002285", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001561", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "healthtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: auth-service. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001030", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "creator-tools", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002534", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "healthtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: chat-agent. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000587", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002629", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "ecommerce", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002647", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002952", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001958", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "infra", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000310", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "saas", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: auth-service. Domain: saas. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001301", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: scheduler. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002004", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "developer-tools", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000207", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "fintech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000042", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "developer-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002224", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: cms-platform. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000404", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "infra", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: auth-service. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000548", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000965", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "fintech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: analytics-core. Domain: fintech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000799", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "infra", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: cms-platform. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000190", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "ecommerce", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000366", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "healthtech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000527", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "developer-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002727", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "saas", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: chat-agent. Domain: saas. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002142", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "developer-tools", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000216", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "infra", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: scheduler. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000701", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000358", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Fix stale closure", "domain": "ecommerce", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: cms-platform. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001443", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "developer-tools", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: cms-platform. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000583", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "hard", "title": "Improve readability", "domain": "developer-tools", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002645", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "fintech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: cms-platform. Domain: fintech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001588", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "developer-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002079", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "creator-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: chat-agent. Domain: creator-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000477", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "creator-tools", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001930", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Write tests before implementation", "domain": "fintech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002514", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "healthtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000783", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "fintech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002484", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "creator-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001437", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: chat-agent. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000046", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test form validation", "domain": "developer-tools", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: analytics-core. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000039", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "ecommerce", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001846", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "creator-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002153", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "healthtech", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: payments-api. Domain: healthtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002439", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "creator-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001850", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "edtech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: chat-agent. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001471", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "ecommerce", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001715", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001473", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "infra", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: dashboard-web. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001419", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "infra", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: ml-pipeline. Domain: infra. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002503", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "fintech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: scheduler. Domain: fintech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001879", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "ecommerce", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001123", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "infra", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: scheduler. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002746", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "healthtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: dashboard-web. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002384", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001274", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001542", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "healthtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000594", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "healthtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000142", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "infra", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000809", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "healthtech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: analytics-core. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002446", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: payments-api. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002409", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "creator-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002476", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "saas", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ml-pipeline. Domain: saas. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000116", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "ecommerce", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001458", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000510", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "saas", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: cms-platform. Domain: saas. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002664", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Trace state across components", "domain": "fintech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: cms-platform. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000480", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "developer-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001700", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "ecommerce", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: chat-agent. Domain: ecommerce. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000683", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "ecommerce", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001945", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "creator-tools", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002032", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002535", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001610", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "developer-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: analytics-core. Domain: developer-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002100", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "edtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: cms-platform. Domain: edtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002884", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "saas", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: ml-pipeline. Domain: saas. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001079", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "creator-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: payments-api. Domain: creator-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001738", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "creator-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001615", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002267", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "ecommerce", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: cms-platform. Domain: ecommerce. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002507", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "fintech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: analytics-core. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001501", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000619", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "creator-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: auth-service. Domain: creator-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001146", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "ecommerce", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: scheduler. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000185", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: chat-agent. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001055", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "healthtech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: analytics-core. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000782", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "healthtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: analytics-core. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001900", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "saas", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: mobile-sdk. Domain: saas. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000626", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "ecommerce", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002745", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "infra", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: ml-pipeline. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001805", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Trace state across components", "domain": "creator-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: scheduler. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001489", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "developer-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002532", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000341", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: mobile-sdk. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000866", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "fintech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: ml-pipeline. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002546", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000254", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "healthtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: auth-service. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000297", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "fintech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ml-pipeline. Domain: fintech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-002686", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "fintech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: auth-service. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002205", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002736", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review an API client", "domain": "infra", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002574", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "creator-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: analytics-core. Domain: creator-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000762", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "healthtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001755", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "creator-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000896", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002266", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "developer-tools", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000743", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001982", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "edtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: cms-platform. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001339", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "edtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: scheduler. Domain: edtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002000", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "saas", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: cms-platform. Domain: saas. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000274", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "healthtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001223", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "fintech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000570", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "edtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000328", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Plan rate limiting", "domain": "healthtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002734", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "infra", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: analytics-core. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001515", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "hard", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001523", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "developer-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: auth-service. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001253", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "creator-tools", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002219", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "hard", "title": "Simplify a report query", "domain": "edtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: payments-api. Domain: edtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002216", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "developer-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000669", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "healthtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: scheduler. Domain: healthtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001507", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Plan a repair loop", "domain": "creator-tools", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: scheduler. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000171", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "healthtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: auth-service. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001011", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "creator-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002147", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: payments-api. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001910", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "hard", "title": "Understand schema relationships", "domain": "ecommerce", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002448", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001636", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000981", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002019", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "fintech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: chat-agent. Domain: fintech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001112", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "ecommerce", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000600", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "ecommerce", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002077", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "saas", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002859", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "edtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: dashboard-web. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002028", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "infra", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: scheduler. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000751", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: scheduler. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001521", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "infra", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: chat-agent. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000176", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "ecommerce", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: scheduler. Domain: ecommerce. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000422", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "healthtech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: auth-service. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001776", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "developer-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001895", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "saas", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: scheduler. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002841", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001080", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000591", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "creator-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: scheduler. Domain: creator-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002438", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "ecommerce", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001691", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "fintech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: cms-platform. Domain: fintech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000845", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "infra", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000864", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "hard", "title": "Analyze hydration mismatch", "domain": "ecommerce", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000030", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "infra", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: ml-pipeline. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002593", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "healthtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000597", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "developer-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001100", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "healthtech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: payments-api. Domain: healthtech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000579", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "hard", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: scheduler. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001459", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "fintech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002413", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: cms-platform. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000898", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "fintech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: scheduler. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000807", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "creator-tools", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001152", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "fintech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: analytics-core. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000204", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "developer-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001102", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "healthtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: payments-api. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001644", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: cms-platform. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002325", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "healthtech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: analytics-core. Domain: healthtech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000924", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002759", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "creator-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000481", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "edtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: analytics-core. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002918", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: scheduler. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001713", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "ecommerce", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: cms-platform. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000451", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: auth-service. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000736", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002164", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "infra", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: dashboard-web. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001238", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "saas", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: scheduler. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001928", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "edtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: analytics-core. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002125", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "edtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: payments-api. Domain: edtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000105", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: payments-api. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002455", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "ecommerce", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: payments-api. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002821", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "healthtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: analytics-core. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000568", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "creator-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: scheduler. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000674", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000392", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "ecommerce", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002706", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "fintech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: mobile-sdk. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000760", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "healthtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001643", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "fintech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: scheduler. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002215", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: payments-api. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002394", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "edtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: cms-platform. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000524", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "fintech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ml-pipeline. Domain: fintech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001124", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001997", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: payments-api. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001947", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test form validation", "domain": "saas", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: payments-api. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001002", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "developer-tools", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001577", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Map the flow of a request through the service", "domain": "healthtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000585", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: auth-service. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002924", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "developer-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: payments-api. Domain: developer-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000389", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "healthtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000139", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "healthtech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: cms-platform. Domain: healthtech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001962", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "developer-tools", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001759", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "creator-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: auth-service. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001593", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "infra", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000576", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "hard", "title": "Understand schema relationships", "domain": "edtech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: cms-platform. Domain: edtech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000372", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "healthtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: payments-api. Domain: healthtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-000952", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002115", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "fintech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: payments-api. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002256", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "infra", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: analytics-core. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001468", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001912", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "fintech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: chat-agent. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001697", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: chat-agent. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002370", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "edtech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002545", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Diagnose a race condition", "domain": "infra", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: chat-agent. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001854", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000467", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "edtech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: dashboard-web. Domain: edtech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000682", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "infra", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: cms-platform. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000090", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "healthtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: cms-platform. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000724", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: payments-api. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-002868", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: payments-api. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002897", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-002357", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002095", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "developer-tools", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001031", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "infra", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: ml-pipeline. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000546", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: dashboard-web. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000025", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "fintech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: payments-api. Domain: fintech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-002815", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Trace state across components", "domain": "healthtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: chat-agent. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002943", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "ecommerce", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: scheduler. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000567", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "edtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: chat-agent. Domain: edtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001622", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "infra", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: payments-api. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000991", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "saas", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: dashboard-web. Domain: saas. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001164", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "ecommerce", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: scheduler. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002152", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "developer-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002132", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002873", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "infra", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: scheduler. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002602", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "developer-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002451", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002085", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: chat-agent. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001810", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "creator-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000009", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "creator-tools", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002015", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002925", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "hard", "title": "Review a reporting query", "domain": "creator-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: chat-agent. Domain: creator-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001575", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "creator-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001787", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "saas", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000640", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "fintech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002442", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "creator-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002107", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "healthtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000008", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "ecommerce", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: payments-api. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000661", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "healthtech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: chat-agent. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001743", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test form validation", "domain": "saas", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: auth-service. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001513", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "saas", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: payments-api. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000147", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000622", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "healthtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: payments-api. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002526", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "healthtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: chat-agent. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000130", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "edtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000065", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "hard", "title": "Write query tests", "domain": "infra", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: analytics-core. Domain: infra. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001907", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "healthtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: analytics-core. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000195", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "creator-tools", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001920", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002505", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "infra", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: payments-api. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001800", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001532", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: auth-service. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002559", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Write tests before implementation", "domain": "edtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001067", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "healthtech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: payments-api. Domain: healthtech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001077", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "creator-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000178", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "hard", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: scheduler. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001608", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: payments-api. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001338", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "hard", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002091", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "creator-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: auth-service. Domain: creator-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001137", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "ecommerce", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: chat-agent. Domain: ecommerce. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002031", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "creator-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001311", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001327", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "healthtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000378", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "creator-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002301", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002027", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "fintech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: scheduler. Domain: fintech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000721", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "infra", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: analytics-core. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002440", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "ecommerce", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000528", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "creator-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000867", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "saas", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: mobile-sdk. Domain: saas. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001829", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "infra", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001763", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Plan a repair loop", "domain": "edtech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: payments-api. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001640", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "developer-tools", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002102", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "ecommerce", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001387", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000424", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "creator-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001231", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "edtech", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002336", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002292", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "creator-tools", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001518", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001543", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: payments-api. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001356", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "fintech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: scheduler. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001350", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "infra", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002204", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "infra", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: scheduler. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000434", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000228", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "healthtech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: chat-agent. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002371", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "saas", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: ml-pipeline. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001432", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "fintech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000871", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "ecommerce", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000512", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "creator-tools", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000148", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000503", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002840", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "edtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: cms-platform. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001702", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "infra", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: ml-pipeline. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001337", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002228", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "developer-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000393", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "healthtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: chat-agent. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000632", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "ecommerce", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000538", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000533", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ml-pipeline. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000872", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: scheduler. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001635", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "healthtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: scheduler. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000311", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-002802", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: payments-api. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000103", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000699", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "developer-tools", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000187", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "hard", "title": "Simplify reducer logic", "domain": "ecommerce", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001208", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000569", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002699", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "edtech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: dashboard-web. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002492", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "saas", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: chat-agent. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000649", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "ecommerce", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: scheduler. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002904", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "fintech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: payments-api. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001375", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "infra", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: analytics-core. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002176", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "ecommerce", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: auth-service. Domain: ecommerce. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002998", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "saas", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: cms-platform. Domain: saas. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001451", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000332", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "fintech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: payments-api. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002475", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review a memoized component", "domain": "healthtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: payments-api. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002674", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: scheduler. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002515", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002740", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "creator-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: auth-service. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001566", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "infra", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: cms-platform. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002146", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test form validation", "domain": "saas", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: chat-agent. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000819", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "hard", "title": "Understand schema relationships", "domain": "infra", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: mobile-sdk. Domain: infra. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001951", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: payments-api. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-002564", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: chat-agent. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002426", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "saas", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: dashboard-web. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002578", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "healthtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: cms-platform. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000899", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "healthtech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002310", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "ecommerce", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: payments-api. Domain: ecommerce. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000135", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test a formatter", "domain": "edtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: cms-platform. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000243", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: chat-agent. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002843", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ml-pipeline. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001903", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ml-pipeline. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-002034", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: payments-api. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000900", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "edtech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: cms-platform. Domain: edtech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002860", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "creator-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001540", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "edtech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: cms-platform. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001637", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000655", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "developer-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002045", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "ecommerce", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000315", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-002879", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: scheduler. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001236", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001892", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "developer-tools", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001295", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "developer-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002553", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "creator-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000279", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "hard", "title": "Fix duplicate aggregation", "domain": "creator-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002827", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002330", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "healthtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001057", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "healthtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: chat-agent. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000170", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "creator-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001342", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "developer-tools", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000624", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001871", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "edtech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002468", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001659", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "edtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: cms-platform. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000590", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ml-pipeline. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001932", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "infra", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ml-pipeline. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000745", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "edtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: auth-service. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001442", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "developer-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: auth-service. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000696", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: scheduler. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002721", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "saas", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: scheduler. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000691", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "creator-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001633", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001348", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002908", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "creator-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002437", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001797", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ml-pipeline. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001753", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "edtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: auth-service. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001665", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "saas", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: cms-platform. Domain: saas. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000922", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "fintech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: auth-service. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001965", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "hard", "title": "Write query tests", "domain": "ecommerce", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001038", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "infra", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002401", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001506", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000853", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "infra", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: analytics-core. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002117", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: cms-platform. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002319", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "fintech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: dashboard-web. Domain: fintech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001496", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "saas", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: dashboard-web. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000334", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "creator-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000824", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000714", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: cms-platform. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002862", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "developer-tools", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001265", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "hard", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: scheduler. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002551", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "developer-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001859", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "infra", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001578", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test a formatter", "domain": "healthtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: payments-api. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001569", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: auth-service. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001244", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000270", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "infra", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000124", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: scheduler. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001833", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Guard null props", "domain": "saas", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: cms-platform. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000250", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "creator-tools", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000785", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001200", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "healthtech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: auth-service. Domain: healthtech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002432", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: auth-service. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000725", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "ecommerce", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: scheduler. Domain: ecommerce. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000073", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: payments-api. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000179", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "developer-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: payments-api. Domain: developer-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002127", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "hard", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: cms-platform. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000224", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: auth-service. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000307", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001616", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001263", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Coordinate verification", "domain": "saas", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: chat-agent. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002718", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: auth-service. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-002124", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001246", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "saas", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: dashboard-web. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001364", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Trace state across components", "domain": "healthtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: scheduler. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001441", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "edtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ml-pipeline. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000200", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "healthtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: payments-api. Domain: healthtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001814", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "saas", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: auth-service. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002633", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "saas", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: chat-agent. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002449", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "developer-tools", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000440", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "saas", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: dashboard-web. Domain: saas. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001141", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: payments-api. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000356", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "healthtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001614", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test form validation", "domain": "developer-tools", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: scheduler. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000220", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002383", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "developer-tools", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002744", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000670", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "ecommerce", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: payments-api. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002302", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "ecommerce", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001469", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: analytics-core. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000602", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: payments-api. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000667", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "ecommerce", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002405", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002335", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002854", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: payments-api. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000431", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "developer-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000746", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: payments-api. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002177", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "fintech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001280", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001611", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "saas", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: ml-pipeline. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001336", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: analytics-core. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001979", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "edtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: auth-service. Domain: edtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001872", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "ecommerce", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002869", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: cms-platform. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-000097", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: auth-service. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-000338", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000992", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "developer-tools", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002288", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "infra", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: dashboard-web. Domain: infra. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000232", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: auth-service. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001426", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "healthtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: auth-service. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001050", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "saas", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: auth-service. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001969", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "developer-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000628", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "developer-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002236", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "infra", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002774", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000460", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "hard", "title": "Test form validation", "domain": "healthtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: payments-api. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000536", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000589", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "healthtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: analytics-core. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000999", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Fix timezone parsing", "domain": "fintech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: payments-api. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001844", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001757", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "creator-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002813", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test a formatter", "domain": "creator-tools", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002838", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001474", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "hard", "title": "Plan release verification", "domain": "infra", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: infra. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001063", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Coordinate verification", "domain": "developer-tools", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: payments-api. Domain: developer-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001003", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002092", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "edtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: dashboard-web. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001316", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002158", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001351", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002167", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "ecommerce", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: auth-service. Domain: ecommerce. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001034", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000458", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "healthtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001378", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000758", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002927", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "saas", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: chat-agent. Domain: saas. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001766", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "ecommerce", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: payments-api. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002005", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: mobile-sdk. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002583", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "saas", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: chat-agent. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002969", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: chat-agent. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001439", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "infra", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: scheduler. Domain: infra. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002109", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "creator-tools", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000797", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: analytics-core. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000704", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "infra", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: dashboard-web. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000365", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "hard", "title": "Plan migration checks", "domain": "infra", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002283", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "healthtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: payments-api. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001266", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "fintech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: payments-api. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001092", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "edtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: auth-service. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001267", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "saas", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: cms-platform. Domain: saas. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001818", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: auth-service. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000164", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000534", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001452", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002251", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "fintech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: chat-agent. Domain: fintech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-002447", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000212", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "hard", "title": "Split a large function", "domain": "fintech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: scheduler. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001370", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "infra", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: auth-service. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001698", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "infra", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: cms-platform. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000456", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000802", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "saas", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ecommerce-backend. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001645", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "fintech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: auth-service. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002329", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "edtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: auth-service. Domain: edtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000273", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000506", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002677", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001412", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "creator-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002822", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "hard", "title": "Review a serializer", "domain": "healthtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: auth-service. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000288", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "developer-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002685", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-000808", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: payments-api. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000944", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "fintech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: analytics-core. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001317", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "creator-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: payments-api. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001985", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "fintech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: chat-agent. Domain: fintech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001379", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "infra", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: mobile-sdk. Domain: infra. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000515", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: scheduler. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001607", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "developer-tools", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002472", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "saas", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: saas. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001798", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "fintech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ml-pipeline. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000361", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "edtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: auth-service. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002720", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "saas", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: scheduler. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002265", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "developer-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000344", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000256", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "developer-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: scheduler. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002719", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "healthtech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: cms-platform. Domain: healthtech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002047", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Guard null props", "domain": "creator-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002944", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001297", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: analytics-core. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000680", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "saas", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: scheduler. Domain: saas. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000781", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "hard", "title": "Analyze hydration mismatch", "domain": "healthtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: payments-api. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001855", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Explain a stack trace", "domain": "ecommerce", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000739", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: scheduler. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001629", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "infra", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: dashboard-web. Domain: infra. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000552", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "developer-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: chat-agent. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001834", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002601", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001796", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: scheduler. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002713", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: analytics-core. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001585", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "saas", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: payments-api. Domain: saas. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000002", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "saas", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001477", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "fintech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: cms-platform. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002350", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Plan a repair loop", "domain": "fintech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001232", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test form validation", "domain": "healthtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000079", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "healthtech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001012", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "healthtech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: analytics-core. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002044", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "developer-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: chat-agent. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001182", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "edtech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: chat-agent. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002732", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000656", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: cms-platform. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000266", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "healthtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001848", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "hard", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001975", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "edtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: auth-service. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002277", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "ecommerce", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001828", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "developer-tools", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002400", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "ecommerce", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: cms-platform. Domain: ecommerce. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001307", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "infra", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: chat-agent. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001286", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "saas", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: payments-api. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002355", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "ecommerce", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001883", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "saas", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: chat-agent. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001090", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "developer-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001014", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "ecommerce", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000945", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Fix timezone parsing", "domain": "developer-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000131", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "saas", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: payments-api. Domain: saas. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002922", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Plan a repair loop", "domain": "ecommerce", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002903", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "hard", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-002712", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "saas", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: auth-service. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001258", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000054", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Analyze hydration mismatch", "domain": "saas", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: mobile-sdk. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002767", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "creator-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001313", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "ecommerce", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001728", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "ecommerce", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002068", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "creator-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001858", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "developer-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001672", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: chat-agent. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002615", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "fintech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: dashboard-web. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001115", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "ecommerce", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001530", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "creator-tools", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002281", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Trace state across components", "domain": "developer-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: chat-agent. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000732", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: cms-platform. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002046", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test form validation", "domain": "ecommerce", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: analytics-core. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002264", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: payments-api. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002942", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "infra", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: chat-agent. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000938", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "developer-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: payments-api. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002173", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "ecommerce", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: chat-agent. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001118", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001847", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "ecommerce", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000711", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "creator-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002830", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "creator-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001326", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002185", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001134", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001049", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "ecommerce", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001956", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Analyze hydration mismatch", "domain": "healthtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002626", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "fintech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: analytics-core. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001771", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "fintech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: payments-api. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002482", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "edtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: payments-api. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001498", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "healthtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002565", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "infra", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: mobile-sdk. Domain: infra. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001794", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "fintech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000514", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "creator-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001226", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: cms-platform. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000888", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "hard", "title": "Review a reporting query", "domain": "infra", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: auth-service. Domain: infra. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001111", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review an API client", "domain": "fintech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000471", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "saas", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001240", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "fintech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: scheduler. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002160", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "hard", "title": "Extract reusable hook", "domain": "healthtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: auth-service. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000678", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000078", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002351", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-000325", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "creator-tools", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: payments-api. Domain: creator-tools. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000034", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002638", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "infra", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: auth-service. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002576", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "edtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: scheduler. Domain: edtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001110", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "creator-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: analytics-core. Domain: creator-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001248", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "hard", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ml-pipeline. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001277", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "healthtech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002089", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "saas", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: ml-pipeline. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000482", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "fintech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002076", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "ecommerce", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002670", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "ecommerce", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001624", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001142", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "developer-tools", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002894", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "saas", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: payments-api. Domain: saas. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001217", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "saas", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: mobile-sdk. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000936", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "ecommerce", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: auth-service. Domain: ecommerce. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001857", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "edtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001163", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "infra", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: dashboard-web. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002635", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "saas", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: cms-platform. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000285", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: mobile-sdk. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001169", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001845", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "infra", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001664", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Guard null props", "domain": "saas", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ecommerce-backend. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002197", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "creator-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002989", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "healthtech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: scheduler. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002770", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "fintech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001868", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "healthtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: payments-api. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001335", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002597", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "creator-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: scheduler. Domain: creator-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000215", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Guard null props", "domain": "ecommerce", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001427", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "edtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: scheduler. Domain: edtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002966", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "developer-tools", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001909", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "developer-tools", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001604", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "fintech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ml-pipeline. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001987", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002955", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "infra", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: dashboard-web. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000177", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Plan rate limiting", "domain": "ecommerce", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002689", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "creator-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002857", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "infra", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: chat-agent. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000716", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: scheduler. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001289", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "saas", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: ml-pipeline. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001742", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Plan rate limiting", "domain": "developer-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000370", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "ecommerce", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001505", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: cms-platform. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002993", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "creator-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002819", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "saas", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: chat-agent. Domain: saas. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001108", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001431", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "ecommerce", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000005", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Fix stale closure", "domain": "edtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: auth-service. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000748", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002347", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "saas", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: cms-platform. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001619", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "infra", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: cms-platform. Domain: infra. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001062", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "developer-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002610", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: dashboard-web. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000484", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "saas", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: scheduler. Domain: saas. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001017", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "healthtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002715", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000126", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "edtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: scheduler. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001839", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "creator-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001533", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002781", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test a formatter", "domain": "saas", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: ml-pipeline. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000825", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "creator-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002026", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002702", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001457", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: scheduler. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001206", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test form validation", "domain": "developer-tools", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001010", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "fintech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001479", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: analytics-core. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000921", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "healthtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: chat-agent. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002995", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "infra", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: scheduler. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000469", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002644", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000060", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "hard", "title": "Simplify reducer logic", "domain": "infra", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-002356", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002852", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: dashboard-web. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002467", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "creator-tools", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: scheduler. Domain: creator-tools. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002112", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "edtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002062", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Sequence tool calls", "domain": "saas", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002086", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "creator-tools", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002836", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: analytics-core. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001937", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-002887", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002960", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "ecommerce", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001852", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002511", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "saas", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: dashboard-web. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002487", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002008", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "saas", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: scheduler. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000697", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001434", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "healthtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: chat-agent. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001740", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "creator-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000352", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000860", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002784", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "edtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002120", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Fix stale closure", "domain": "fintech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ml-pipeline. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002422", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "ecommerce", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002235", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "hard", "title": "Diagnose promise flow", "domain": "saas", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: payments-api. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001778", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "hard", "title": "Review a memoized component", "domain": "saas", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000374", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "saas", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: chat-agent. Domain: saas. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001099", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "creator-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001207", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Fix timezone parsing", "domain": "creator-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002196", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "infra", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: payments-api. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001492", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "edtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: cms-platform. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001309", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "infra", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: payments-api. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000331", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "healthtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000029", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "developer-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: payments-api. Domain: developer-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002258", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002411", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "healthtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002221", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "edtech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: analytics-core. Domain: edtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001976", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: scheduler. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001777", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "healthtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002594", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "developer-tools", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002695", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "healthtech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: auth-service. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000291", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "creator-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001695", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "healthtech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: auth-service. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001095", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "edtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000964", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: scheduler. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001673", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "fintech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: chat-agent. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001764", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: dashboard-web. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000513", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001397", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002106", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "edtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002084", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000485", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: dashboard-web. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-000109", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "developer-tools", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001641", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "edtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000565", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: scheduler. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002321", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "ecommerce", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000194", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "infra", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: chat-agent. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000089", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "developer-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001046", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test a formatter", "domain": "ecommerce", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: auth-service. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001689", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000811", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000289", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "healthtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001486", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "edtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: cms-platform. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002037", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: analytics-core. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001186", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "developer-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000346", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000101", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: mobile-sdk. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001214", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: payments-api. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000542", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "creator-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000629", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "healthtech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001735", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001117", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "infra", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ml-pipeline. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001568", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000153", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "ecommerce", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001801", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "healthtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002286", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "developer-tools", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001992", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "infra", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: cms-platform. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002155", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "fintech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: payments-api. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002561", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "ecommerce", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001461", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "healthtech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: payments-api. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001175", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ml-pipeline. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001119", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "creator-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001016", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "developer-tools", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: cms-platform. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000958", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001466", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "fintech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002659", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "creator-tools", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: auth-service. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001372", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001052", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "edtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: analytics-core. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000488", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "developer-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: payments-api. Domain: developer-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002630", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "creator-tools", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000449", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "healthtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: payments-api. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000231", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "healthtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000778", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "ecommerce", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002386", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "fintech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000335", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001235", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "healthtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: scheduler. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000161", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "healthtech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: auth-service. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000209", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "infra", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: dashboard-web. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001389", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "developer-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001574", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "healthtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-000420", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "developer-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002558", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "saas", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: mobile-sdk. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000951", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000163", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "hard", "title": "Review a cache helper", "domain": "healthtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001621", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000957", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001826", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "saas", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: ml-pipeline. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000822", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "healthtech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000707", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "fintech", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: auth-service. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000415", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "infra", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: auth-service. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000351", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000733", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "edtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: dashboard-web. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000644", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: chat-agent. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000272", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002945", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Find hidden coupling", "domain": "saas", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: ml-pipeline. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000476", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: auth-service. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000930", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "creator-tools", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000416", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: payments-api. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000407", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "ecommerce", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: auth-service. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002378", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "developer-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000138", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "ecommerce", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: cms-platform. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000539", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: payments-api. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001093", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "saas", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: cms-platform. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002974", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "hard", "title": "Plan release verification", "domain": "infra", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: dashboard-web. Domain: infra. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001074", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: analytics-core. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-002458", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000047", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: auth-service. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000540", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "infra", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000137", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001916", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001678", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test form validation", "domain": "edtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ml-pipeline. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002902", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "developer-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: payments-api. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000330", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "edtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002488", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: auth-service. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000788", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "edtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: analytics-core. Domain: edtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000972", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001281", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "healthtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002014", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002743", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "edtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002306", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002387", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "hard", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000040", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Handle empty payloads", "domain": "creator-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: auth-service. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001609", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "edtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: payments-api. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002848", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "edtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: chat-agent. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001222", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "creator-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: auth-service. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001897", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: dashboard-web. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001376", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "saas", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: auth-service. Domain: saas. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000844", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "infra", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ml-pipeline. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002697", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001487", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000287", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000920", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "creator-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: analytics-core. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001463", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "fintech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: analytics-core. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000120", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002241", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "developer-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: scheduler. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001564", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002540", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "developer-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001227", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "healthtech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000907", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "edtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: payments-api. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000903", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "healthtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: payments-api. Domain: healthtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002656", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "healthtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: dashboard-web. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000035", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Fix stale closure", "domain": "edtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: dashboard-web. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002298", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "healthtech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: auth-service. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000574", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001306", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001739", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "fintech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: dashboard-web. Domain: fintech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001767", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "hard", "title": "Fix duplicate aggregation", "domain": "ecommerce", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001727", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "infra", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: payments-api. Domain: infra. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000104", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "fintech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000295", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "creator-tools", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001285", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000843", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "healthtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: dashboard-web. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002959", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "developer-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000908", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001193", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "developer-tools", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000402", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002223", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "edtech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002308", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "saas", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: dashboard-web. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000363", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "creator-tools", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001680", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "hard", "title": "Write query tests", "domain": "ecommerce", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: chat-agent. Domain: ecommerce. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002788", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: chat-agent. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002755", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "healthtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000659", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "infra", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002573", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002910", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "developer-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: scheduler. Domain: developer-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001946", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "healthtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001290", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test a formatter", "domain": "saas", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: chat-agent. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000601", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002596", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "developer-tools", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: analytics-core. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000572", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "hard", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001328", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "fintech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002570", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "saas", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: ml-pipeline. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000115", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001802", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "edtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002138", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "infra", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: ecommerce-backend. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002272", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: auth-service. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000099", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "developer-tools", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000053", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "edtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001993", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "infra", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: chat-agent. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002024", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001865", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "edtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: auth-service. Domain: edtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002654", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "fintech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: scheduler. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002680", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "hard", "title": "Design audit tables", "domain": "saas", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002072", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000414", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "hard", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002834", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Trace state across components", "domain": "edtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: chat-agent. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002473", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "edtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000240", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "healthtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001999", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "fintech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: cms-platform. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002390", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: payments-api. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002017", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "healthtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: payments-api. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000801", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "hard", "title": "Simplify reducer logic", "domain": "ecommerce", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001729", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "saas", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: payments-api. Domain: saas. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002919", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "infra", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: auth-service. Domain: infra. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001053", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "ecommerce", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002703", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: auth-service. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002483", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "saas", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000003", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000459", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "healthtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: payments-api. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001541", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "edtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: scheduler. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000980", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: payments-api. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002141", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001996", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002497", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: auth-service. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002317", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002754", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001831", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "fintech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: analytics-core. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000637", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: payments-api. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002179", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002416", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: cms-platform. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000306", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "creator-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001109", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "edtech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: payments-api. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000817", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: chat-agent. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002516", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002460", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002157", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "ecommerce", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: auth-service. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000247", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "hard", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: payments-api. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002863", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "healthtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: auth-service. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002653", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "infra", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001171", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "edtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: auth-service. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002372", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "creator-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001790", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "hard", "title": "Diagnose promise flow", "domain": "saas", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001696", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "ecommerce", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001570", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "fintech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: payments-api. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000299", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Write tests before implementation", "domain": "healthtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: chat-agent. Domain: healthtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002977", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "developer-tools", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002453", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "saas", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: analytics-core. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002694", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "infra", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: dashboard-web. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000873", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "edtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000987", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test form validation", "domain": "fintech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: dashboard-web. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002757", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test form validation", "domain": "saas", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: chat-agent. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002765", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "creator-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002722", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "hard", "title": "Review a cache helper", "domain": "ecommerce", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002768", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "fintech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: analytics-core. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002061", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "ecommerce", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: payments-api. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002011", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: auth-service. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002130", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "fintech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: auth-service. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000775", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: cms-platform. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002536", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002605", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Trace state across components", "domain": "edtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002375", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: cms-platform. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001929", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "fintech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: chat-agent. Domain: fintech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000192", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Lock down behavior", "domain": "fintech", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: scheduler. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002590", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001354", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001631", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "ecommerce", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002936", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "creator-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001386", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "infra", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: auth-service. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001116", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "healthtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: auth-service. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002619", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "saas", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: dashboard-web. Domain: saas. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001820", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: cms-platform. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001210", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000832", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000302", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001606", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001125", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "fintech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: cms-platform. Domain: fintech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000062", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "edtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: auth-service. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002128", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "edtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: chat-agent. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000890", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "edtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: scheduler. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001250", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "hard", "title": "Reduce duplication", "domain": "fintech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: payments-api. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001160", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: chat-agent. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001424", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: scheduler. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000292", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "fintech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: chat-agent. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002641", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "saas", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001360", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Guard null props", "domain": "ecommerce", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001788", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "saas", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: dashboard-web. Domain: saas. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002318", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001963", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "creator-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000584", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "fintech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: scheduler. Domain: fintech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000036", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "edtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: cms-platform. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001551", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "developer-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001819", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "fintech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: ml-pipeline. Domain: fintech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-002874", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000284", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "ecommerce", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: auth-service. Domain: ecommerce. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002530", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "saas", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: ml-pipeline. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000500", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "infra", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: cms-platform. Domain: infra. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002572", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000741", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001234", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001357", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Fix stale closure", "domain": "ecommerce", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001373", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Guard null props", "domain": "creator-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: scheduler. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000668", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000452", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001917", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001896", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: payments-api. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000468", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "fintech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: payments-api. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001484", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001151", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "developer-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000634", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "infra", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000443", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "saas", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: payments-api. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002345", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "creator-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000357", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "fintech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: scheduler. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000906", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001732", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "edtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: chat-agent. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000063", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "edtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: cms-platform. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002226", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "ecommerce", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001565", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "edtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: payments-api. Domain: edtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000937", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "developer-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000242", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "infra", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001312", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "infra", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002779", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "developer-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: chat-agent. Domain: developer-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000318", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000969", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001143", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "healthtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002850", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "edtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: cms-platform. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001433", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001275", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: scheduler. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002858", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Guard null props", "domain": "healthtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: chat-agent. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000113", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "fintech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002957", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: payments-api. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001155", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Map the flow of a request through the service", "domain": "edtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: auth-service. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000828", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Find hidden coupling", "domain": "edtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: analytics-core. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002577", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Write tests before implementation", "domain": "ecommerce", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001590", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "developer-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: analytics-core. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000290", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "hard", "title": "Review an API client", "domain": "healthtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: payments-api. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001693", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "creator-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001706", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000457", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "ecommerce", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: payments-api. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001679", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "developer-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001653", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "fintech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: scheduler. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001737", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002001", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "healthtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: analytics-core. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000222", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Plan rate limiting", "domain": "fintech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002705", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000359", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "developer-tools", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001923", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "ecommerce", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001886", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "infra", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: cms-platform. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002853", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "creator-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001167", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: dashboard-web. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002758", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Trace state across components", "domain": "developer-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: scheduler. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001025", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "creator-tools", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: payments-api. Domain: creator-tools. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001582", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "developer-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002691", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "saas", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: dashboard-web. Domain: saas. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001898", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "infra", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: scheduler. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000211", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: scheduler. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001158", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "creator-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000677", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "ecommerce", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: payments-api. Domain: ecommerce. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000301", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Diagnose promise flow", "domain": "infra", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002149", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "ecommerce", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001165", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "ecommerce", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001977", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "developer-tools", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000787", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002071", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "fintech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: auth-service. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002486", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "edtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: analytics-core. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002489", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "saas", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: cms-platform. Domain: saas. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002135", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "fintech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: payments-api. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002431", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "creator-tools", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002662", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Find hidden coupling", "domain": "saas", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002477", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "healthtech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: analytics-core. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000184", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "fintech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: scheduler. Domain: fintech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000935", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001559", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "creator-tools", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: auth-service. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002381", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "fintech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: chat-agent. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001385", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: payments-api. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001495", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Diagnose a race condition", "domain": "creator-tools", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001901", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "ecommerce", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002735", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001556", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001239", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "infra", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: chat-agent. Domain: infra. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001315", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "creator-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002009", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "fintech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002334", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "creator-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: auth-service. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000608", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "hard", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002883", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "infra", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: analytics-core. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001869", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000770", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "infra", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: auth-service. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001655", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "fintech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: payments-api. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001173", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002742", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "infra", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: cms-platform. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001571", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "saas", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000862", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "edtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: payments-api. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002229", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "developer-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002679", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "infra", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: chat-agent. Domain: infra. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001174", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-002562", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "ecommerce", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001225", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "infra", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: payments-api. Domain: infra. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002504", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "edtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: cms-platform. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002566", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Fix timezone parsing", "domain": "edtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000340", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "saas", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: ml-pipeline. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002498", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "infra", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: scheduler. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002963", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "edtech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: payments-api. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001904", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "edtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000928", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "ecommerce", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001464", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "hard", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000033", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "fintech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: mobile-sdk. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002305", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "hard", "title": "Extract reusable hook", "domain": "fintech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001176", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "infra", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: scheduler. Domain: infra. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000586", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "edtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: scheduler. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002956", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: chat-agent. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001646", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "creator-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000133", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: chat-agent. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001450", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "healthtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001190", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: auth-service. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001157", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "saas", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000755", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Find hidden coupling", "domain": "fintech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001040", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "edtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: dashboard-web. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000098", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "saas", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002571", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "ecommerce", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: payments-api. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001241", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "healthtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002002", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "healthtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: auth-service. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001422", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "saas", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001416", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002080", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "saas", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: payments-api. Domain: saas. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002652", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "saas", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: cms-platform. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001793", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "edtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: payments-api. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002895", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "edtech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: auth-service. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000110", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "creator-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000255", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "infra", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001483", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "ecommerce", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001259", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "infra", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: analytics-core. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000767", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "fintech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: dashboard-web. Domain: fintech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001322", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "creator-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000479", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: cms-platform. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000435", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001877", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Design a service interface", "domain": "healthtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: payments-api. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001984", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "healthtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: cms-platform. Domain: healthtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000280", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "infra", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: auth-service. Domain: infra. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002660", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "saas", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ecommerce-backend. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002082", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "fintech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: scheduler. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001830", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "ecommerce", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001367", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "fintech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: auth-service. Domain: fintech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001768", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "fintech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000977", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "fintech", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: analytics-core. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001884", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "infra", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: dashboard-web. Domain: infra. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002181", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "hard", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002346", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: scheduler. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000398", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "edtech", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001598", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "creator-tools", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000917", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "hard", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001081", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "saas", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: analytics-core. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001626", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000011", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "developer-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001136", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "creator-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: chat-agent. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000623", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "edtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000496", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000238", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "ecommerce", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002312", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "fintech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001536", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000595", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "infra", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: analytics-core. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001974", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: auth-service. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-002766", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "edtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: analytics-core. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002397", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000432", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test form validation", "domain": "developer-tools", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001273", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test form validation", "domain": "edtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: auth-service. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002259", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "ecommerce", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002782", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "infra", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: cms-platform. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002729", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "hard", "title": "Trace missing rows", "domain": "creator-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: payments-api. Domain: creator-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001851", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002964", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "hard", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000994", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "edtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001736", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001283", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002262", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "developer-tools", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001938", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "fintech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: analytics-core. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001172", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: payments-api. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002589", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "fintech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000376", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "infra", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: payments-api. Domain: infra. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002189", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "ecommerce", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001043", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "hard", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000881", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "hard", "title": "Test a formatter", "domain": "ecommerce", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001675", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ml-pipeline. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000107", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "infra", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: dashboard-web. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000729", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "hard", "title": "Design audit tables", "domain": "creator-tools", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002891", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "creator-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: scheduler. Domain: creator-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000521", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Identify the file to change for feature X", "domain": "ecommerce", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000448", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test form validation", "domain": "ecommerce", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001573", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "fintech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: auth-service. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000360", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000205", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "hard", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000436", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test form validation", "domain": "fintech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: dashboard-web. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001527", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "edtech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: chat-agent. Domain: edtech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002810", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "saas", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: cms-platform. Domain: saas. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000149", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "saas", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: chat-agent. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002178", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: payments-api. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001403", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000316", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "developer-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: scheduler. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000792", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "edtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: auth-service. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000056", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001563", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "fintech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: payments-api. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001785", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002417", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "edtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: mobile-sdk. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000182", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "healthtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001245", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "saas", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: dashboard-web. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002510", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: chat-agent. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000815", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000800", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "developer-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002984", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "fintech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: auth-service. Domain: fintech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000417", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "fintech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ml-pipeline. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001813", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "healthtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002314", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000114", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: scheduler. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002556", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000396", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "creator-tools", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000087", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: cms-platform. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000037", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: mobile-sdk. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001734", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002110", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: dashboard-web. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000874", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: payments-api. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000264", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001529", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: dashboard-web. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000239", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "infra", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: scheduler. Domain: infra. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000197", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001421", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "ecommerce", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: payments-api. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002275", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: cms-platform. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000095", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "edtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: chat-agent. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001524", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001620", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "fintech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: mobile-sdk. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000892", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "ecommerce", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002313", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "developer-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: payments-api. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002366", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "creator-tools", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002639", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "fintech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: chat-agent. Domain: fintech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-002408", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "hard", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002075", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001955", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "infra", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: cms-platform. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002885", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-000044", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "saas", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: payments-api. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001292", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "fintech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: cms-platform. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000752", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "edtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ml-pipeline. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001699", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "developer-tools", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002376", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: cms-platform. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002105", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Trace state across components", "domain": "healthtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: dashboard-web. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001924", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001098", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "ecommerce", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001065", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "developer-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: auth-service. Domain: developer-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000267", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002575", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "healthtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001497", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001756", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review a memoized component", "domain": "edtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002975", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002529", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "developer-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: auth-service. Domain: developer-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002817", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000523", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "infra", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000189", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "infra", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002988", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: auth-service. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002367", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "infra", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: chat-agent. Domain: infra. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000692", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "saas", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002795", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "ecommerce", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000564", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review an API client", "domain": "fintech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: payments-api. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002360", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: cms-platform. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-002599", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "creator-tools", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000151", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "ecommerce", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000303", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-002150", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "edtech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: analytics-core. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001233", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "fintech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: chat-agent. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001243", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "saas", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: chat-agent. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000442", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "fintech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: auth-service. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002696", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: scheduler. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002808", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002939", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: chat-agent. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002762", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "ecommerce", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000399", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "edtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: payments-api. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002793", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "ecommerce", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001550", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Handle empty payloads", "domain": "ecommerce", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000286", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "edtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: chat-agent. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002739", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "creator-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001998", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "infra", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001717", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "creator-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: auth-service. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000703", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: mobile-sdk. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-002642", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "hard", "title": "Split a large function", "domain": "ecommerce", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001086", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "developer-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002049", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "saas", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: scheduler. Domain: saas. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000474", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "hard", "title": "Plan release verification", "domain": "healthtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: payments-api. Domain: healthtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002485", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000599", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "developer-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002521", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "healthtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000223", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: payments-api. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000588", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "hard", "title": "Review a reporting query", "domain": "ecommerce", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002888", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "creator-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001581", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Trace state across components", "domain": "developer-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: scheduler. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001310", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "saas", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: payments-api. Domain: saas. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001078", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: dashboard-web. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001784", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "creator-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002074", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: scheduler. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001656", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "developer-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000146", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "hard", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001237", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: payments-api. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-002846", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000157", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "ecommerce", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: auth-service. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000119", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "edtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: analytics-core. Domain: edtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001815", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "hard", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002789", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "ecommerce", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000709", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "edtech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: dashboard-web. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001623", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Plan rate limiting", "domain": "creator-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001249", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "hard", "title": "Review a serializer", "domain": "creator-tools", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000754", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: scheduler. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002368", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002661", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "edtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: auth-service. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002073", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "infra", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ml-pipeline. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001272", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "hard", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001807", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: dashboard-web. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000007", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Coordinate verification", "domain": "ecommerce", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001878", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "infra", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: dashboard-web. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000851", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "ecommerce", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: payments-api. Domain: ecommerce. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001860", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "saas", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: analytics-core. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002707", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "infra", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: cms-platform. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001967", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "fintech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: auth-service. Domain: fintech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000246", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Guard null props", "domain": "ecommerce", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: cms-platform. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001221", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "ecommerce", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002620", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "edtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000581", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: auth-service. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001494", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "infra", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000541", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "developer-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: auth-service. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001019", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "saas", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: cms-platform. Domain: saas. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002804", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "fintech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: chat-agent. Domain: fintech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001305", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000968", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test form validation", "domain": "saas", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: mobile-sdk. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000684", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "edtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: mobile-sdk. Domain: edtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000773", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001410", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "saas", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: dashboard-web. Domain: saas. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002060", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002398", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Fix timezone parsing", "domain": "infra", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: analytics-core. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001894", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "fintech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: analytics-core. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001073", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001224", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: cms-platform. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001716", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000262", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Diagnose a race condition", "domain": "ecommerce", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001126", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test form validation", "domain": "ecommerce", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000230", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "developer-tools", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000850", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "saas", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: cms-platform. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002563", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "developer-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000686", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "healthtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: payments-api. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000219", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "infra", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: analytics-core. Domain: infra. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001201", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "creator-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: analytics-core. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000061", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Handle empty payloads", "domain": "saas", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: chat-agent. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001661", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "infra", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: auth-service. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000055", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "fintech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: cms-platform. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002163", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "creator-tools", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000428", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "developer-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000379", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "hard", "title": "Simplify a report query", "domain": "ecommerce", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: analytics-core. Domain: ecommerce. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001867", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "saas", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: chat-agent. Domain: saas. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002640", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "infra", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: dashboard-web. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002917", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "developer-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001827", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "fintech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: payments-api. Domain: fintech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001075", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: dashboard-web. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001770", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "healthtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001476", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "healthtech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: payments-api. Domain: healthtech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002252", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "ecommerce", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: auth-service. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001596", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "creator-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000834", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "saas", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ml-pipeline. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001758", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: payments-api. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002406", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002976", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "developer-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002595", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "creator-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002907", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "infra", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000798", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "edtech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000671", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "fintech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002238", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "developer-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001554", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001018", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001035", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001560", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001254", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001537", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001881", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: auth-service. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002533", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001959", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "edtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: chat-agent. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002982", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "edtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: analytics-core. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001482", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "healthtech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: auth-service. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000072", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "saas", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: saas. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001751", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-000833", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "saas", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: scheduler. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002428", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "fintech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002481", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "healthtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000463", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "ecommerce", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: payments-api. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000662", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "creator-tools", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002255", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "infra", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: payments-api. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000830", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "edtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000276", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "hard", "title": "Review a reporting query", "domain": "fintech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: chat-agent. Domain: fintech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000444", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001009", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "edtech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000406", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Fix stale closure", "domain": "fintech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001391", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "ecommerce", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001293", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "edtech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: scheduler. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002454", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "ecommerce", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001216", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002404", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "healthtech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: auth-service. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000814", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "ecommerce", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000198", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "infra", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: scheduler. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002701", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001911", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Trace state across components", "domain": "creator-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001863", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "developer-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000388", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "developer-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000369", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "developer-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000419", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "healthtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002328", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "developer-tools", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002913", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test form validation", "domain": "developer-tools", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: chat-agent. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002296", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "saas", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: chat-agent. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002831", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "edtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: auth-service. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002764", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "fintech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: auth-service. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001056", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002877", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "ecommerce", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002161", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "developer-tools", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000856", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "infra", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ml-pipeline. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000886", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "healthtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000839", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "hard", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: dashboard-web. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002911", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Fix stale closure", "domain": "infra", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: mobile-sdk. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001194", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "saas", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000236", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001187", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: payments-api. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000154", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: scheduler. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002098", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "creator-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000253", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "edtech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: analytics-core. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001908", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002761", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "edtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001359", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "edtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002524", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ml-pipeline. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-002270", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "creator-tools", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002052", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "developer-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: scheduler. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002493", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "healthtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002119", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "developer-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: cms-platform. Domain: developer-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000447", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "edtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: dashboard-web. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000926", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000093", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "ecommerce", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: auth-service. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002070", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "creator-tools", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: auth-service. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002104", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "creator-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001147", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "ecommerce", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: auth-service. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001685", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001261", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "ecommerce", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001546", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test form validation", "domain": "creator-tools", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002168", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "fintech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: mobile-sdk. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000347", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "saas", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: cms-platform. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000096", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "developer-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000786", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "healthtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: auth-service. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001204", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "healthtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000766", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Map the flow of a request through the service", "domain": "ecommerce", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002728", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "fintech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: analytics-core. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001512", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "developer-tools", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002915", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "healthtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: cms-platform. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001652", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "fintech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: scheduler. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000765", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "infra", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: auth-service. Domain: infra. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002209", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "infra", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001191", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "ecommerce", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: payments-api. Domain: ecommerce. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001531", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Coordinate verification", "domain": "ecommerce", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001453", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "healthtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: scheduler. Domain: healthtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000642", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "infra", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: auth-service. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001597", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001195", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "healthtech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: chat-agent. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001599", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Plan rate limiting", "domain": "creator-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000168", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001893", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "saas", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: payments-api. Domain: saas. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000337", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "hard", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001032", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: analytics-core. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001269", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: auth-service. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000427", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "edtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: analytics-core. Domain: edtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000877", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "developer-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002445", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "creator-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001509", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Diagnose a race condition", "domain": "fintech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: analytics-core. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000535", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002478", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "fintech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002747", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "edtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002870", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "infra", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: auth-service. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002550", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "saas", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: cms-platform. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002683", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "developer-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001670", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "saas", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: ml-pipeline. Domain: saas. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001260", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "infra", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: analytics-core. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000700", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "healthtech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002364", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001639", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "hard", "title": "Understand schema relationships", "domain": "saas", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: ml-pipeline. Domain: saas. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000580", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "developer-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000269", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "fintech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-000635", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: scheduler. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000993", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "edtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002159", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "infra", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: dashboard-web. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001638", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "edtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000263", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "edtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: analytics-core. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002636", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "edtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ml-pipeline. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002348", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "healthtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000795", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "fintech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: analytics-core. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002113", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002598", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "fintech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002042", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "edtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002349", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "infra", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: mobile-sdk. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000727", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "hard", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: cms-platform. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001060", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001072", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-000021", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "developer-tools", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000509", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "infra", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001036", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "fintech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: chat-agent. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001605", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000502", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "ecommerce", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000193", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "developer-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002506", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: cms-platform. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000249", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "saas", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: ml-pipeline. Domain: saas. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000265", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "infra", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: chat-agent. Domain: infra. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000516", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002714", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "edtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: payments-api. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002154", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "developer-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: auth-service. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000070", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "ecommerce", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001455", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "infra", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: cms-platform. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001885", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "infra", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: scheduler. Domain: infra. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001681", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "hard", "title": "Test a formatter", "domain": "creator-tools", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: chat-agent. Domain: creator-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000985", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: auth-service. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-000852", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "edtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: auth-service. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001666", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "edtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000218", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: cms-platform. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001925", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "creator-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002985", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: scheduler. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-002778", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001538", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000698", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "ecommerce", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002499", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "edtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001500", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "saas", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002199", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "saas", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: payments-api. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001514", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "creator-tools", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001318", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "healthtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-000934", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002096", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002617", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000612", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Coordinate verification", "domain": "healthtech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001692", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "infra", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000966", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Fix timezone parsing", "domain": "edtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: chat-agent. Domain: edtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000504", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Handle empty payloads", "domain": "creator-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002195", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "ecommerce", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001660", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000615", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "developer-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002172", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: chat-agent. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002568", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: analytics-core. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002114", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "infra", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002856", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "healthtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002392", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "healthtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002579", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "ecommerce", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001415", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001548", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "ecommerce", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: payments-api. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001007", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "fintech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: payments-api. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001071", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "fintech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: cms-platform. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002585", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: chat-agent. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-002555", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "creator-tools", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002479", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "infra", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: cms-platform. Domain: infra. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002896", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: dashboard-web. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001915", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ecommerce-backend. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002332", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "infra", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: dashboard-web. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002078", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "infra", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: dashboard-web. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000166", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "infra", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: analytics-core. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001921", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "creator-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002731", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "ecommerce", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001287", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "hard", "title": "Simplify reducer logic", "domain": "saas", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000174", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "hard", "title": "Plan release verification", "domain": "developer-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002054", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: dashboard-web. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001184", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "developer-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: payments-api. Domain: developer-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000720", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: scheduler. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000617", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "developer-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000314", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "edtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ml-pipeline. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002140", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "saas", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002012", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "edtech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: scheduler. Domain: edtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002816", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001953", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "fintech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: ml-pipeline. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002212", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "edtech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: dashboard-web. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002261", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "edtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000349", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "ecommerce", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000653", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "fintech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: cms-platform. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001069", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001197", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "developer-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001188", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "healthtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: dashboard-web. Domain: healthtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002065", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000472", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "ecommerce", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: chat-agent. Domain: ecommerce. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001553", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "infra", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: analytics-core. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001282", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "fintech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001448", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "creator-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000614", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "infra", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ml-pipeline. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000106", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000235", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "infra", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001522", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Explain a stack trace", "domain": "ecommerce", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002282", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "edtech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: analytics-core. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001799", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "developer-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000403", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "fintech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001970", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "infra", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: auth-service. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000780", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "saas", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: ecommerce-backend. Domain: saas. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000339", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "developer-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: analytics-core. Domain: developer-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000333", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000676", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "healthtech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001321", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "infra", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: auth-service. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002280", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "saas", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: dashboard-web. Domain: saas. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000125", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "creator-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000100", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "hard", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: dashboard-web. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000112", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "ecommerce", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002958", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "hard", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: auth-service. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000136", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "edtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: dashboard-web. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002803", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: cms-platform. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001384", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "infra", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: auth-service. Domain: infra. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001132", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000675", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002637", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: analytics-core. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001319", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "creator-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: payments-api. Domain: creator-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000329", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "developer-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: chat-agent. Domain: developer-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002240", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Sequence tool calls", "domain": "infra", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: cms-platform. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001730", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "edtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000293", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "edtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001812", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "saas", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: scheduler. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002967", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "hard", "title": "Trace missing rows", "domain": "ecommerce", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: scheduler. Domain: ecommerce. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002293", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "edtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: chat-agent. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000367", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "hard", "title": "Simplify a report query", "domain": "creator-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002518", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: payments-api. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-000573", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "infra", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ecommerce-backend. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000841", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002010", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "ecommerce", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: scheduler. Domain: ecommerce. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001752", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review a memoized component", "domain": "edtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: auth-service. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002531", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "healthtech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: scheduler. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000731", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "ecommerce", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002623", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002880", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001361", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "edtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001070", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Coordinate verification", "domain": "creator-tools", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001064", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "healthtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: auth-service. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002418", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "saas", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: saas. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-002202", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test form validation", "domain": "edtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: chat-agent. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002711", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: scheduler. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001390", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test form validation", "domain": "saas", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000343", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002684", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "saas", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ml-pipeline. Domain: saas. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002291", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "hard", "title": "Plan migration checks", "domain": "healthtech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: auth-service. Domain: healthtech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000990", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "infra", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ecommerce-backend. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000304", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "ecommerce", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002227", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "ecommerce", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: scheduler. Domain: ecommerce. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002083", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Diagnose a race condition", "domain": "saas", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: payments-api. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000208", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test a formatter", "domain": "healthtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000986", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "saas", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: analytics-core. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000518", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "edtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: mobile-sdk. Domain: edtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000950", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "developer-tools", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002208", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "developer-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: payments-api. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000737", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "hard", "title": "Plan release verification", "domain": "fintech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: analytics-core. Domain: fintech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-002122", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "developer-tools", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000217", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "developer-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000554", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test a formatter", "domain": "edtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: scheduler. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002591", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "saas", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: cms-platform. Domain: saas. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001964", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: cms-platform. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-002295", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "edtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000464", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "saas", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: chat-agent. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002186", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "infra", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: dashboard-web. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000942", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "creator-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000221", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "infra", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: payments-api. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000520", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: payments-api. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000473", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "infra", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000373", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001905", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-002194", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "developer-tools", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001539", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "saas", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: auth-service. Domain: saas. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001211", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "hard", "title": "Trace state across components", "domain": "saas", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: chat-agent. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002663", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "saas", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: auth-service. Domain: saas. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002457", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review a memoized component", "domain": "saas", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: dashboard-web. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000083", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "ecommerce", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: payments-api. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000878", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001066", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "ecommerce", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001294", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "hard", "title": "Split a large function", "domain": "edtech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: auth-service. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001144", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "saas", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: auth-service. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001824", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "saas", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: saas. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000706", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test form validation", "domain": "fintech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: analytics-core. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002469", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001840", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "creator-tools", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000884", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "hard", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: dashboard-web. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002183", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Design a service interface", "domain": "ecommerce", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: auth-service. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000645", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "ecommerce", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002776", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "edtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: analytics-core. Domain: edtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001352", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002725", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: mobile-sdk. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002274", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002131", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "fintech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: analytics-core. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001091", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "creator-tools", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000681", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "ecommerce", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002389", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "edtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001781", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Guard null props", "domain": "healthtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: analytics-core. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002340", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "edtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: auth-service. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001701", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: payments-api. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000630", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "edtech", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: dashboard-web. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000300", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: chat-agent. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000868", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "edtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: dashboard-web. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000646", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "infra", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: chat-agent. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000348", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: analytics-core. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002471", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "saas", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: scheduler. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002613", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000718", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: payments-api. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002184", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "developer-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: payments-api. Domain: developer-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000144", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "healthtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001535", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "ecommerce", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000702", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: scheduler. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000032", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001549", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "saas", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001941", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000652", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002814", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "infra", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: mobile-sdk. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000631", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "fintech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001769", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001228", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "edtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: auth-service. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001502", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review an API client", "domain": "infra", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: dashboard-web. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000837", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-000483", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "ecommerce", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000129", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "infra", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: chat-agent. Domain: infra. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000551", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "developer-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: payments-api. Domain: developer-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000925", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "developer-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: chat-agent. Domain: developer-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001842", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "healthtech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000251", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-001888", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "easy", "title": "Trace missing rows", "domain": "developer-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001209", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "developer-tools", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000544", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "edtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: cms-platform. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000810", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "hard", "title": "Write query tests", "domain": "ecommerce", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: payments-api. Domain: ecommerce. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002940", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "fintech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: analytics-core. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000803", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: mobile-sdk. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-000735", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000186", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "healthtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000960", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "hard", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: auth-service. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000643", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000705", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: scheduler. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-002627", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "hard", "title": "Fix duplicate aggregation", "domain": "edtech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001128", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "creator-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000088", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "infra", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: chat-agent. Domain: infra. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002342", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "developer-tools", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002855", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "creator-tools", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000111", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-003000", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "hard", "title": "Trace missing rows", "domain": "saas", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: analytics-core. Domain: saas. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002279", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "saas", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: dashboard-web. Domain: saas. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001853", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "edtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002452", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Fix stale closure", "domain": "ecommerce", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: cms-platform. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001430", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "edtech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: auth-service. Domain: edtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001750", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Lock down behavior", "domain": "healthtech", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: auth-service. Domain: healthtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000001", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "healthtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001138", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "fintech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002358", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: payments-api. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-002923", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "developer-tools", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002388", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "saas", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ml-pipeline. Domain: saas. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002064", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "developer-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000364", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "hard", "title": "Review a memoized component", "domain": "developer-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000410", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "hard", "title": "Review a reporting query", "domain": "edtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: analytics-core. Domain: edtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001355", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "ecommerce", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001687", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "healthtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: healthtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000887", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "saas", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: scheduler. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002006", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "healthtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: analytics-core. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000027", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "saas", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: cms-platform. Domain: saas. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000685", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002217", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Locate data fetching boundaries", "domain": "developer-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: analytics-core. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001135", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001950", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "saas", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: scheduler. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000181", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002450", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "edtech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: scheduler. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002741", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "developer-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002818", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000384", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "hard", "title": "Fix duplicate aggregation", "domain": "ecommerce", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: analytics-core. Domain: ecommerce. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000487", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000970", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "saas", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: payments-api. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002749", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "fintech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: payments-api. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000383", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "fintech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: auth-service. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000857", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001843", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: cms-platform. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002412", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "fintech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: auth-service. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001149", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "ecommerce", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000493", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "edtech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: payments-api. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001676", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "hard", "title": "Understand schema relationships", "domain": "creator-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: payments-api. Domain: creator-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002407", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Lock down behavior", "domain": "creator-tools", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000048", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Trace state across components", "domain": "healthtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: auth-service. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001051", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: auth-service. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-002777", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "infra", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000397", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001520", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "healthtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: auth-service. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002646", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000879", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "ecommerce", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000905", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-000556", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: scheduler. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001808", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "developer-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: scheduler. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002247", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "infra", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000421", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "saas", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000298", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "creator-tools", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002192", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "edtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001690", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001914", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: dashboard-web. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000840", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "developer-tools", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000180", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "fintech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: chat-agent. Domain: fintech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001683", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "infra", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000948", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000562", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Write tests before implementation", "domain": "developer-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: auth-service. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002315", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test a formatter", "domain": "infra", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: ecommerce-backend. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000423", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "infra", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: cms-platform. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002847", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "ecommerce", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: scheduler. Domain: ecommerce. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000068", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "saas", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ecommerce-backend. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002304", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "hard", "title": "Split a large function", "domain": "infra", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: scheduler. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001765", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "fintech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: payments-api. Domain: fintech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000933", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002020", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "ecommerce", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: payments-api. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002676", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "developer-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002182", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Plan rate limiting", "domain": "ecommerce", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000988", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "infra", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: ml-pipeline. Domain: infra. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001931", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "saas", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: cms-platform. Domain: saas. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002461", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "fintech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: cms-platform. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001377", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "infra", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: auth-service. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000188", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "hard", "title": "Simplify a report query", "domain": "edtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: analytics-core. Domain: edtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001331", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "developer-tools", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001004", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "fintech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: cms-platform. Domain: fintech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000804", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Plan rate limiting", "domain": "infra", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001933", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001557", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "infra", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ml-pipeline. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002760", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "creator-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001462", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "developer-tools", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002311", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "hard", "title": "Trace state across components", "domain": "healthtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002316", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "ecommerce", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: chat-agent. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001647", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Guard null props", "domain": "developer-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000818", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: payments-api. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-002790", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: cms-platform. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002501", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: analytics-core. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001029", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "hard", "title": "Write query tests", "domain": "edtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: ml-pipeline. Domain: edtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001741", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: chat-agent. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002898", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "infra", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: chat-agent. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000445", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "infra", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: auth-service. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000768", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "creator-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000793", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "edtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001971", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "infra", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: dashboard-web. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002609", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "infra", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: cms-platform. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001398", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "fintech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002327", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: cms-platform. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001720", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "healthtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: auth-service. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002269", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "creator-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001341", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: mobile-sdk. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000081", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000611", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test a formatter", "domain": "ecommerce", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: auth-service. Domain: ecommerce. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002844", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002165", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "fintech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: dashboard-web. Domain: fintech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-002036", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000750", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "healthtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002171", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "developer-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002353", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "developer-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002278", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001001", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "creator-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: chat-agent. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002554", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001159", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "healthtech", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000989", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "healthtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002580", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "saas", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: analytics-core. Domain: saas. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002324", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "ecommerce", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: chat-agent. Domain: ecommerce. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002938", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000084", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "edtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002681", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001271", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "edtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: scheduler. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002116", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001114", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "healthtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: cms-platform. Domain: healthtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000405", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test a formatter", "domain": "edtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: mobile-sdk. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-001044", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "infra", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: auth-service. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002809", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "fintech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: auth-service. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001519", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "hard", "title": "Simplify a report query", "domain": "saas", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: payments-api. Domain: saas. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001097", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000450", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "ecommerce", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000593", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "saas", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: payments-api. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002643", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "fintech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: cms-platform. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002750", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "healthtech", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000897", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "infra", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ecommerce-backend. Domain: infra. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001576", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "fintech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: analytics-core. Domain: fintech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-001991", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: payments-api. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000961", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "creator-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002771", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "saas", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: cms-platform. Domain: saas. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000547", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review an API client", "domain": "healthtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: scheduler. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001795", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "infra", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: auth-service. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000904", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "healthtech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: chat-agent. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001968", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000658", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "healthtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001105", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001600", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "infra", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: chat-agent. Domain: infra. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-002667", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "developer-tools", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: scheduler. Domain: developer-tools. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001129", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "edtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: scheduler. Domain: edtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000823", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "saas", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: mobile-sdk. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002912", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "healthtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000919", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "creator-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001242", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "creator-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001425", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "saas", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: analytics-core. Domain: saas. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001862", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "ecommerce", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002403", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "saas", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ml-pipeline. Domain: saas. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000268", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "edtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: dashboard-web. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002170", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "fintech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: scheduler. Domain: fintech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001939", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "creator-tools", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002582", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "edtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: cms-platform. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001746", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "developer-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: chat-agent. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002882", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "developer-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001145", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Reduce duplication", "domain": "developer-tools", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001161", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "ecommerce", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: chat-agent. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000577", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "edtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: analytics-core. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001177", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "creator-tools", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000453", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Diagnose a race condition", "domain": "edtech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: analytics-core. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002581", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "ecommerce", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000835", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "infra", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: ml-pipeline. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001185", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "healthtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: healthtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002148", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test a formatter", "domain": "healthtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: scheduler. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001880", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "hard", "title": "Fix duplicate aggregation", "domain": "creator-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: chat-agent. Domain: creator-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000245", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "infra", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000252", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "creator-tools", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: scheduler. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000650", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "edtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: dashboard-web. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002763", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "ecommerce", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: auth-service. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001775", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000013", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "healthtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: payments-api. Domain: healthtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001033", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000201", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "edtech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: ml-pipeline. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001792", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "edtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: chat-agent. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001122", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "infra", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: scheduler. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002003", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: scheduler. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-002007", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "fintech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: scheduler. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000995", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "healthtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: analytics-core. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002775", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "healthtech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: payments-api. Domain: healthtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002823", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "healthtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002801", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: chat-agent. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000847", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002812", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "fintech", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: chat-agent. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000826", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001817", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "infra", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: analytics-core. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001127", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "fintech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: auth-service. Domain: fintech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-002126", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "hard", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: auth-service. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001552", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "hard", "title": "Extract reusable hook", "domain": "creator-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001684", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "hard", "title": "Plan migration checks", "domain": "infra", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: auth-service. Domain: infra. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001332", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "ecommerce", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: payments-api. Domain: ecommerce. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002780", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "developer-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: auth-service. Domain: developer-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000505", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000603", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-000592", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "creator-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001832", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "developer-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: analytics-core. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000846", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review an API client", "domain": "fintech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: scheduler. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001399", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "hard", "title": "Review an async worker", "domain": "creator-tools", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000439", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "creator-tools", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001694", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "infra", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: cms-platform. Domain: infra. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000057", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: cms-platform. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000454", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "creator-tools", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000861", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Identify the file to change for feature X", "domain": "saas", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: payments-api. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002973", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: analytics-core. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002354", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "healthtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: payments-api. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000462", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002865", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "developer-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: analytics-core. Domain: developer-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000894", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "infra", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: scheduler. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000545", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "saas", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: chat-agent. Domain: saas. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001617", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "saas", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000296", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: payments-api. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000191", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: mobile-sdk. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001024", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002932", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000165", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "edtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: dashboard-web. Domain: edtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000543", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: payments-api. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001020", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "healthtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: dashboard-web. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000492", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "fintech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: analytics-core. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002893", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "edtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000756", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002362", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "healthtech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: analytics-core. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000526", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "hard", "title": "Fix stale closure", "domain": "infra", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: dashboard-web. Domain: infra. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001037", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000784", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "developer-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002621", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "saas", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: analytics-core. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001662", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "healthtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: chat-agent. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000470", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Diagnose a race condition", "domain": "edtech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: cms-platform. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000006", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002039", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "fintech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: payments-api. Domain: fintech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-002480", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "healthtech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001045", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Plan a repair loop", "domain": "saas", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: chat-agent. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002678", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test form validation", "domain": "saas", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: saas. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000511", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "saas", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002525", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "edtech", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: mobile-sdk. Domain: edtech. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001021", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: cms-platform. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001104", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "saas", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001179", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "hard", "title": "Plan migration checks", "domain": "saas", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-002369", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: auth-service. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001686", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "creator-tools", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002420", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "creator-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: scheduler. Domain: creator-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001657", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: dashboard-web. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000558", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "ecommerce", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001411", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "easy", "title": "Test a formatter", "domain": "fintech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: mobile-sdk. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001199", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "creator-tools", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002162", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Trace a failing unit test", "domain": "fintech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: cms-platform. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000789", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "developer-tools", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001592", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "saas", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: payments-api. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002512", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "edtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: analytics-core. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002968", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "hard", "title": "Extract reusable hook", "domain": "infra", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: scheduler. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001761", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "saas", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: chat-agent. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000244", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000975", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: auth-service. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002243", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002018", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "hard", "title": "Diagnose build failure", "domain": "healthtech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-000769", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "developer-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002363", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "infra", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001120", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: analytics-core. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002143", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test a formatter", "domain": "fintech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: cms-platform. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000022", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Lock down behavior", "domain": "saas", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001671", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "hard", "title": "Find hidden coupling", "domain": "creator-tools", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000978", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: payments-api. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002088", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "fintech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: analytics-core. Domain: fintech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000694", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "healthtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000519", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "fintech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000895", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "infra", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: analytics-core. Domain: infra. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001927", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "infra", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: cms-platform. Domain: infra. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000069", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "ecommerce", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: dashboard-web. Domain: ecommerce. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002584", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "saas", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: cms-platform. Domain: saas. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000426", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "saas", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002331", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Find hidden coupling", "domain": "edtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: analytics-core. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000759", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "creator-tools", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000690", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "fintech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001369", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "hard", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: analytics-core. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000336", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "infra", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: scheduler. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001015", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "edtech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: dashboard-web. Domain: edtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002299", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Plan rate limiting", "domain": "developer-tools", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002930", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "fintech", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000651", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "developer-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002704", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "fintech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: analytics-core. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002668", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002220", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: chat-agent. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001663", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Lock down behavior", "domain": "ecommerce", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001480", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "hard", "title": "Review a reporting query", "domain": "creator-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: cms-platform. Domain: creator-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001922", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "edtech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: chat-agent. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000175", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "creator-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001954", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "ecommerce", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: chat-agent. Domain: ecommerce. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000438", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "infra", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: infra. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000017", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: chat-agent. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002410", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "saas", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ml-pipeline. Domain: saas. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000387", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: chat-agent. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000282", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "saas", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: analytics-core. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002733", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000214", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: payments-api. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001103", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-001366", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "creator-tools", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: analytics-core. Domain: creator-tools. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000381", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "hard", "title": "Review an API client", "domain": "saas", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001722", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "edtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001278", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002978", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "hard", "title": "Design client methods", "domain": "healthtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: dashboard-web. Domain: healthtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-001654", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "hard", "title": "Diagnose promise flow", "domain": "developer-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000412", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "creator-tools", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001219", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "edtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: scheduler. Domain: edtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002889", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "edtech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: chat-agent. Domain: edtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001218", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "creator-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: auth-service. Domain: creator-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002237", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "infra", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: scheduler. Domain: infra. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-002365", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "fintech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: cms-platform. Domain: fintech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-002249", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "fintech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: auth-service. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002875", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "edtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: cms-platform. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002218", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002254", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "edtech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: payments-api. Domain: edtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001276", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "saas", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: chat-agent. Domain: saas. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001133", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "saas", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000202", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "fintech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: mobile-sdk. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000949", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "creator-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000323", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "infra", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: chat-agent. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002385", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-002796", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "hard", "title": "Extract reusable hook", "domain": "developer-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: auth-service. Domain: developer-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002361", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "creator-tools", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000749", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "developer-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000507", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "edtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001304", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "ecommerce", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001368", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: chat-agent. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001083", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "ecommerce", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: auth-service. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000390", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Guard null props", "domain": "saas", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002839", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "healthtech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: scheduler. Domain: healthtech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001485", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000411", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "saas", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ecommerce-backend. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002456", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "saas", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: analytics-core. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002470", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Define response shapes", "domain": "healthtech", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: chat-agent. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002151", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000563", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "fintech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: scheduler. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002997", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "healthtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "healthtech", "persian-friendly"]}
{"id": "JT3K-000757", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "infra", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: payments-api. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001343", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "ecommerce", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001168", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000108", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "creator-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000094", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "healthtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: analytics-core. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001667", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "developer-tools", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001229", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "healthtech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: analytics-core. Domain: healthtech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001264", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "saas", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002041", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "creator-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000308", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "infra", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: payments-api. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001491", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "creator-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: analytics-core. Domain: creator-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002961", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "fintech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000305", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001688", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "developer-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001393", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "infra", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: analytics-core. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001150", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "infra", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: chat-agent. Domain: infra. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000627", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "infra", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: mobile-sdk. Domain: infra. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001555", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Define a failing test suite", "domain": "ecommerce", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: auth-service. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002867", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "medium", "title": "Review a reporting query", "domain": "edtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: cms-platform. Domain: edtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000561", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "edtech", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002724", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ml-pipeline. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-002926", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "developer-tools", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: auth-service. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000225", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "creator-tools", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000437", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: mobile-sdk. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-000160", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "hard", "title": "Test a formatter", "domain": "infra", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: mobile-sdk. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001202", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "saas", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: ecommerce-backend. Domain: saas. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001744", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "fintech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: dashboard-web. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002200", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "edtech", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: dashboard-web. Domain: edtech. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001279", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "developer-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001008", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "hard", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: ml-pipeline. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-001299", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Lock down behavior", "domain": "saas", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: chat-agent. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002614", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "fintech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: mobile-sdk. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000134", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "hard", "title": "Extract reusable hook", "domain": "edtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: scheduler. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002560", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000491", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: scheduler. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-001396", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002260", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test form validation", "domain": "fintech", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: cms-platform. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002268", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Trace state across components", "domain": "infra", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: analytics-core. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002786", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Handle empty payloads", "domain": "healthtech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: mobile-sdk. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001940", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Identify the file to change for feature X", "domain": "ecommerce", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000557", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "hard", "title": "Trace state across components", "domain": "developer-tools", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: chat-agent. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002429", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "saas", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: scheduler. Domain: saas. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-000478", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review an API client", "domain": "healthtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: chat-agent. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002300", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "hard", "title": "Write query tests", "domain": "healthtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: cms-platform. Domain: healthtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002133", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "edtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: analytics-core. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002436", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "edtech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: cms-platform. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000394", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Fix timezone parsing", "domain": "ecommerce", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000550", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "healthtech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000350", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "ecommerce", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002935", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002931", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "saas", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: scheduler. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000031", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "ecommerce", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002861", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Coordinate verification", "domain": "saas", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: payments-api. Domain: saas. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001388", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "creator-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: chat-agent. Domain: creator-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002658", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "saas", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ml-pipeline. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-001526", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: scheduler. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002723", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "edtech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: payments-api. Domain: edtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000071", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "creator-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: scheduler. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001456", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002339", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "developer-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: chat-agent. Domain: developer-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000016", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "hard", "title": "Review an API client", "domain": "infra", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: chat-agent. Domain: infra. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000771", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Design a service interface", "domain": "fintech", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001856", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "developer-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: analytics-core. Domain: developer-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000150", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Coordinate verification", "domain": "fintech", "user_story": "Describe a tool sequence that verifies lint, unit tests, and type checks.", "repo_context": "Repo: payments-api. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Coordinate verification. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000172", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000816", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "edtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: scheduler. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001511", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "edtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002632", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: chat-agent. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001320", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "ecommerce", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: ecommerce. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001587", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "ecommerce", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001876", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "edtech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: ml-pipeline. Domain: edtech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002284", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "fintech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: analytics-core. Domain: fintech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-002025", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "edtech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002692", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Diagnose a race condition", "domain": "creator-tools", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000929", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "developer-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: cms-platform. Domain: developer-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000275", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "infra", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: cms-platform. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002402", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "infra", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: cms-platform. Domain: infra. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-001981", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "edtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: payments-api. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "edtech", "persian-friendly"]}
{"id": "JT3K-002612", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Explain a stack trace", "domain": "developer-tools", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002544", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "infra", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: dashboard-web. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000779", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "hard", "title": "Design audit tables", "domain": "healthtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: payments-api. Domain: healthtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000687", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "ecommerce", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: chat-agent. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000870", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Handle empty payloads", "domain": "ecommerce", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: payments-api. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001649", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a serializer", "domain": "edtech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: chat-agent. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002099", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "creator-tools", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000425", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "creator-tools", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001772", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: chat-agent. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001595", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "healthtech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: dashboard-web. Domain: healthtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001394", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "ecommerce", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000123", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "edtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: scheduler. Domain: edtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001440", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "ecommerce", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002980", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "hard", "title": "Trace missing rows", "domain": "edtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: scheduler. Domain: edtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001961", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "fintech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: scheduler. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000796", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Trace state across components", "domain": "edtech", "user_story": "A React app manages auth state in context, hooks, and a small API layer.", "repo_context": "Repo: mobile-sdk. Domain: edtech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Trace state across components. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002191", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "creator-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002139", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "infra", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: cms-platform. Domain: infra. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000657", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "easy", "title": "Extract reusable hook", "domain": "edtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: analytics-core. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001402", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "hard", "title": "Simplify reducer logic", "domain": "infra", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-000598", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "fintech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: payments-api. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000665", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "healthtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: auth-service. Domain: healthtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000260", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "infra", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: cms-platform. Domain: infra. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000354", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002541", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ecommerce-backend. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000075", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001026", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-002234", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "easy", "title": "Simplify reducer logic", "domain": "creator-tools", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: cms-platform. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000776", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "saas", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: dashboard-web. Domain: saas. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001589", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "fintech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: payments-api. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000723", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "edtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: payments-api. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001447", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "healthtech", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: auth-service. Domain: healthtech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000377", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Handle empty payloads", "domain": "fintech", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001460", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "saas", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: analytics-core. Domain: saas. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-000342", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "healthtech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: analytics-core. Domain: healthtech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001140", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Lock down behavior", "domain": "saas", "user_story": "Write tests for a password strength checker with explicit boundary conditions.", "repo_context": "Repo: scheduler. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Lock down behavior. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002517", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: dashboard-web. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002737", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: cms-platform. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-001972", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-000501", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "infra", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: scheduler. Domain: infra. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002093", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "creator-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001906", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: cms-platform. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002190", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "creator-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002050", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "fintech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: analytics-core. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002845", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Plan a repair loop", "domain": "infra", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: ml-pipeline. Domain: infra. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001383", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "creator-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001849", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "hard", "title": "Sequence tool calls", "domain": "ecommerce", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000465", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: cms-platform. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-000734", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001107", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "creator-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000271", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "fintech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: scheduler. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000982", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "ecommerce", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000014", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "medium", "title": "Test a formatter", "domain": "edtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: mobile-sdk. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000498", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "saas", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: ml-pipeline. Domain: saas. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000638", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "edtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: payments-api. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000313", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "healthtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ecommerce-backend. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000281", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "easy", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: analytics-core. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002618", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "saas", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: payments-api. Domain: saas. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-002248", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "healthtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: analytics-core. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002833", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test a formatter", "domain": "edtech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: ecommerce-backend. Domain: edtech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002222", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "saas", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: analytics-core. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001268", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review a memoized component", "domain": "saas", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ml-pipeline. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001183", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Prevent duplicate inserts", "domain": "edtech", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: payments-api. Domain: edtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-000400", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "easy", "title": "Write query tests", "domain": "saas", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: mobile-sdk. Domain: saas. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001481", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "hard", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000672", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "medium", "title": "Diagnose build failure", "domain": "developer-tools", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: auth-service. Domain: developer-tools. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000836", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: scheduler. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001747", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "medium", "title": "Design client methods", "domain": "fintech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: mobile-sdk. Domain: fintech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000663", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "infra", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: dashboard-web. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001703", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "fintech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: scheduler. Domain: fintech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001054", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "healthtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: scheduler. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-002752", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-001198", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "fintech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: chat-agent. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002693", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "saas", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: payments-api. Domain: saas. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000693", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "hard", "title": "Review a serializer", "domain": "saas", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: chat-agent. Domain: saas. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001058", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "typescript", "difficulty": "medium", "title": "Test a formatter", "domain": "fintech", "user_story": "Write tests for a date formatter that must respect locale and fallback rules.", "repo_context": "Repo: mobile-sdk. Domain: fintech. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test a formatter. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000532", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Fix stale closure", "domain": "healthtech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: scheduler. Domain: healthtech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000408", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "healthtech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: healthtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "healthtech", "persian-friendly"]}
{"id": "JT3K-000085", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "developer-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001966", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "infra", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: chat-agent. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001006", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "medium", "title": "Locate data fetching boundaries", "domain": "infra", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: payments-api. Domain: infra. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "infra", "persian-friendly"]}
{"id": "JT3K-002650", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "creator-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: payments-api. Domain: creator-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001347", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "infra", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: chat-agent. Domain: infra. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "infra", "persian-friendly"]}
{"id": "JT3K-000327", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "saas", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: payments-api. Domain: saas. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001760", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "typescript", "difficulty": "medium", "title": "Guard null props", "domain": "saas", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: mobile-sdk. Domain: saas. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002807", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Define a failing test suite", "domain": "ecommerce", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000059", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Define a failing test suite", "domain": "healthtech", "user_story": "Produce tests for a CSV importer that must reject malformed rows.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Define a failing test suite. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000821", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "ecommerce", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002688", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "edtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: chat-agent. Domain: edtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002233", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: chat-agent. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-000726", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: dashboard-web. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001346", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review an API client", "domain": "creator-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002297", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "edtech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: chat-agent. Domain: edtech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001594", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Diagnose a race condition", "domain": "fintech", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: ml-pipeline. Domain: fintech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000962", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "ecommerce", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000475", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001178", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "typescript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "fintech", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: analytics-core. Domain: fintech. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002263", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "medium", "title": "Fix timezone parsing", "domain": "healthtech", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: chat-agent. Domain: healthtech. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002709", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "healthtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: cms-platform. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002188", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "easy", "title": "Understand schema relationships", "domain": "creator-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000875", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Analyze hydration mismatch", "domain": "creator-tools", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: mobile-sdk. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002377", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Split a large function", "domain": "infra", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: payments-api. Domain: infra. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002035", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: chat-agent. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000210", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "creator-tools", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: scheduler. Domain: creator-tools. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002717", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "edtech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: ml-pipeline. Domain: edtech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002459", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Reduce duplication", "domain": "ecommerce", "user_story": "The repo has repeated validation logic in three endpoints; centralize it.", "repo_context": "Repo: scheduler. Domain: ecommerce. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Reduce duplication. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001255", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Explain a stack trace", "domain": "developer-tools", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002622", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "developer-tools", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: scheduler. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002056", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "ecommerce", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: scheduler. Domain: ecommerce. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000067", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "easy", "title": "Simplify a report query", "domain": "ecommerce", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001708", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "ecommerce", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002239", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "easy", "title": "Design audit tables", "domain": "healthtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: chat-agent. Domain: healthtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002193", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "medium", "title": "Write tests before implementation", "domain": "infra", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: scheduler. Domain: infra. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002962", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Fix timezone parsing", "domain": "creator-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000312", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "healthtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: analytics-core. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-000196", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review a memoized component", "domain": "creator-tools", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001762", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review an async worker", "domain": "fintech", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: cms-platform. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000010", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "hard", "title": "Simplify a report query", "domain": "saas", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: ecommerce-backend. Domain: saas. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001627", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "medium", "title": "Fix duplicate aggregation", "domain": "fintech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: scheduler. Domain: fintech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-000979", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: chat-agent. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002928", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "hard", "title": "Plan rate limiting", "domain": "saas", "user_story": "Add a rate limiter design that can scale across multiple workers.", "repo_context": "Repo: dashboard-web. Domain: saas. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Plan rate limiting. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "saas", "persian-friendly"]}
{"id": "JT3K-000909", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "medium", "title": "Explain a stack trace", "domain": "creator-tools", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000167", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "infra", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-000939", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "medium", "title": "Plan migration checks", "domain": "fintech", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: ml-pipeline. Domain: fintech. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "fintech", "persian-friendly"]}
{"id": "JT3K-002174", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "saas", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: dashboard-web. Domain: saas. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "saas", "persian-friendly"]}
{"id": "JT3K-000018", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "edtech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: scheduler. Domain: edtech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "edtech", "persian-friendly"]}
{"id": "JT3K-001087", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "edtech", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: scheduler. Domain: edtech. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-001618", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "creator-tools", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: auth-service. Domain: creator-tools. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001041", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "edtech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: analytics-core. Domain: edtech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002374", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "medium", "title": "Plan release verification", "domain": "fintech", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: analytics-core. Domain: fintech. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-002738", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "saas", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: dashboard-web. Domain: saas. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000940", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Prevent duplicate inserts", "domain": "developer-tools", "user_story": "A repository method can insert duplicate rows under retries. Add idempotency guards.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Prevent duplicate inserts. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000159", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "healthtech", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: scheduler. Domain: healthtech. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-002671", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "ecommerce", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001230", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "hard", "title": "Fix timezone parsing", "domain": "developer-tools", "user_story": "A datetime parser returns naive objects and breaks scheduling. Patch it to handle UTC offsets safely.", "repo_context": "Repo: ecommerce-backend. Domain: developer-tools. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Fix timezone parsing. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001085", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: chat-agent. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001841", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "easy", "title": "Review an API client", "domain": "saas", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: auth-service. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000913", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "fintech", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-002950", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a cache helper", "domain": "ecommerce", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001291", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "edtech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: cms-platform. Domain: edtech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000946", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "saas", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: mobile-sdk. Domain: saas. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002343", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "developer-tools", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002494", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "easy", "title": "Design a service interface", "domain": "developer-tools", "user_story": "Propose a clean Python interface for a notification service supporting email and SMS.", "repo_context": "Repo: ml-pipeline. Domain: developer-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Design a service interface. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001899", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Map the flow of a request through the service", "domain": "edtech", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: chat-agent. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001710", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "sql", "difficulty": "easy", "title": "Fix duplicate aggregation", "domain": "edtech", "user_story": "A query double-counts rows after joining two one-to-many tables.", "repo_context": "Repo: chat-agent. Domain: edtech. SQL analytics pipeline with reporting queries.", "instruction": "Fix the query issue: Fix duplicate aggregation. Explain the bug and provide the corrected pattern.", "reference_solution": "Deduplicate before aggregating, use correct grain, and be careful with time boundaries.", "evaluation": {"checks": ["correct grain", "no double count", "boundary handling"]}, "tags": ["agentic", "coding", "bug_fix", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-001944", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "easy", "title": "Analyze hydration mismatch", "domain": "ecommerce", "user_story": "A server-rendered page renders different timestamps on client and server.", "repo_context": "Repo: analytics-core. Domain: ecommerce. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Analyze hydration mismatch. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000258", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "typescript", "difficulty": "easy", "title": "Design client methods", "domain": "saas", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: payments-api. Domain: saas. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "typescript", "saas", "persian-friendly"]}
{"id": "JT3K-002569", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "infra", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: auth-service. Domain: infra. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "infra", "persian-friendly"]}
{"id": "JT3K-002414", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "medium", "title": "Guard null props", "domain": "fintech", "user_story": "A component crashes when optional props are missing.", "repo_context": "Repo: mobile-sdk. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Guard null props. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-001669", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "easy", "title": "Simplify script logic", "domain": "fintech", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: payments-api. Domain: fintech. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-000074", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "bash", "difficulty": "easy", "title": "Diagnose build failure", "domain": "fintech", "user_story": "A CI script fails because one command exits early and hides the root cause.", "repo_context": "Repo: dashboard-web. Domain: fintech. CI scripts, release automation, and shell helpers.", "instruction": "Diagnose this shell failure: Diagnose build failure. Explain the failure point and the safest fix.", "reference_solution": "Check exit codes, quote variables, and make failure handling explicit with set -euo pipefail when appropriate.", "evaluation": {"checks": ["failure point", "shell safety", "clear fix"]}, "tags": ["agentic", "coding", "debug_trace", "bash", "fintech", "persian-friendly"]}
{"id": "JT3K-001363", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "ecommerce", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001166", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "fintech", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: dashboard-web. Domain: fintech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000183", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "edtech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: dashboard-web. Domain: edtech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001870", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Plan a repair loop", "domain": "developer-tools", "user_story": "The agent should read files, run tests, inspect failures, patch code, and re-run checks.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Plan a repair loop. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002207", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "healthtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: cms-platform. Domain: healthtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "healthtech", "persian-friendly"]}
{"id": "JT3K-001189", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "edtech", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: dashboard-web. Domain: edtech. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-002242", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "easy", "title": "Identify the file to change for feature X", "domain": "creator-tools", "user_story": "A FastAPI repo stores schema logic in one module and persistence in another. Locate where to add a new field safely.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Identify the file to change for feature X. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002421", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "python", "difficulty": "medium", "title": "Define response shapes", "domain": "creator-tools", "user_story": "Design consistent API responses for success, validation errors, and server errors.", "repo_context": "Repo: chat-agent. Domain: creator-tools. Python backend exposing JSON APIs.", "instruction": "Design the API/contract for: Define response shapes. Define inputs, outputs, errors, and extensibility points.", "reference_solution": "Use explicit request/response schemas, stable error shapes, and version-friendly naming.", "evaluation": {"checks": ["clear contract", "consistent errors", "future-proof design"]}, "tags": ["agentic", "coding", "api_design", "python", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002946", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "typescript", "difficulty": "medium", "title": "Simplify reducer logic", "domain": "fintech", "user_story": "Reduce branching in a Redux reducer without changing behavior.", "repo_context": "Repo: analytics-core. Domain: fintech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Simplify reducer logic. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-001864", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "creator-tools", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: ml-pipeline. Domain: creator-tools. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000162", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Explain a stack trace", "domain": "saas", "user_story": "A KeyError appears in production when a field is absent in a nested payload.", "repo_context": "Repo: cms-platform. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Explain a stack trace. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001782", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "easy", "title": "Write tests before implementation", "domain": "fintech", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: chat-agent. Domain: fintech. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000806", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "edtech", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: ml-pipeline. Domain: edtech. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "edtech", "persian-friendly"]}
{"id": "JT3K-002508", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "medium", "title": "Review an API client", "domain": "fintech", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002509", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "fintech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: scheduler. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002419", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "sql", "difficulty": "medium", "title": "Write query tests", "domain": "edtech", "user_story": "Create validation cases for a revenue query with month boundaries.", "repo_context": "Repo: chat-agent. Domain: edtech. SQL validation and BI dashboards.", "instruction": "Define tests/validation cases for: Write query tests. Include edge and boundary conditions.", "reference_solution": "Use small fixture tables and validate row counts, null handling, and date windows.", "evaluation": {"checks": ["fixtures", "edge cases", "row-level expectations"]}, "tags": ["agentic", "coding", "tdd", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-002166", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Improve readability", "domain": "developer-tools", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: payments-api. Domain: developer-tools. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001601", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "easy", "title": "Test form validation", "domain": "developer-tools", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: scheduler. Domain: developer-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002175", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "javascript", "difficulty": "easy", "title": "Locate data fetching boundaries", "domain": "creator-tools", "user_story": "A Next.js repo separates server actions, client components, and shared utilities.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. React/Node codebase with components, hooks, and API clients.", "instruction": "Explain the code path for: Locate data fetching boundaries. Point out likely components, hooks, or services.", "reference_solution": "Follow the UI event, state update, API call, and render path. Identify shared utilities and tests.", "evaluation": {"checks": ["UI path identified", "state flow understood", "files mapped"]}, "tags": ["agentic", "coding", "repo_understanding", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001121", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "medium", "title": "Review a cache helper", "domain": "fintech", "user_story": "A cache wrapper forgets to namespace keys and can collide across tenants.", "repo_context": "Repo: dashboard-web. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a cache helper. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-002069", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "bash", "difficulty": "easy", "title": "Plan release verification", "domain": "creator-tools", "user_story": "Run lint, unit tests, packaging, and smoke checks before publishing.", "repo_context": "Repo: auth-service. Domain: creator-tools. Release and verification scripts in bash.", "instruction": "Build a tool-use plan for: Plan release verification. Include commands to inspect, run, and validate.", "reference_solution": "List the exact commands in order: inspect files, run targeted checks, then package and smoke test.", "evaluation": {"checks": ["command order", "verification", "safe execution"]}, "tags": ["agentic", "coding", "tool_use", "bash", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002698", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "python", "difficulty": "easy", "title": "Handle empty payloads", "domain": "saas", "user_story": "A webhook handler crashes when the JSON body is empty. Make it resilient and return a proper error.", "repo_context": "Repo: dashboard-web. Domain: saas. Python service uses Pydantic models, DB repositories, and unit tests.", "instruction": "Patch the bug described here: Handle empty payloads. Return a minimal safe fix and mention any tests to run.", "reference_solution": "Add input validation, preserve backward-compatible behavior, and include a regression test for the broken edge case.", "evaluation": {"checks": ["bug removed", "edge case handled", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002787", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "developer-tools", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: cms-platform. Domain: developer-tools. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001362", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Trace a failing unit test", "domain": "infra", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: ml-pipeline. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-000606", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "javascript", "difficulty": "hard", "title": "Test form validation", "domain": "creator-tools", "user_story": "Create tests for password and email validation in a UI flow.", "repo_context": "Repo: chat-agent. Domain: creator-tools. JS testing stack with Vitest/Jest and React Testing Library.", "instruction": "Write test cases for: Test form validation. Start with the edge cases and expected behavior.", "reference_solution": "Cover input validation, boundary values, async states, and error rendering.", "evaluation": {"checks": ["edge coverage", "async behavior", "clear expectations"]}, "tags": ["agentic", "coding", "tdd", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000865", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "creator-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: scheduler. Domain: creator-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000827", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "hard", "title": "Design audit tables", "domain": "creator-tools", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: cms-platform. Domain: creator-tools. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "creator-tools", "persian-friendly"]}
{"id": "JT3K-002053", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Map the flow of a request through the service", "domain": "ecommerce", "user_story": "Given a Python Flask service with routes, services, and a DB layer, explain the request path for creating an order.", "repo_context": "Repo: mobile-sdk. Domain: ecommerce. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Map the flow of a request through the service. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-001978", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "typescript", "difficulty": "easy", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: chat-agent. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-000429", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "sql", "difficulty": "medium", "title": "Understand schema relationships", "domain": "developer-tools", "user_story": "A warehouse schema uses fact and dimension tables for subscriptions and events.", "repo_context": "Repo: payments-api. Domain: developer-tools. Data warehouse with fact/dimension tables and scheduled jobs.", "instruction": "Explain the data flow for: Understand schema relationships. Identify tables, joins, and transformation steps.", "reference_solution": "Trace source tables to staging, then to marts. Identify key joins, filters, and aggregation points.", "evaluation": {"checks": ["table flow", "join logic", "aggregation path"]}, "tags": ["agentic", "coding", "repo_understanding", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000012", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review a serializer", "domain": "fintech", "user_story": "The serializer leaks internal IDs in API responses; propose a cleaner contract.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review a serializer. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-001382", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Trace a failing unit test", "domain": "developer-tools", "user_story": "A test intermittently fails due to shared mutable state between cases.", "repo_context": "Repo: mobile-sdk. Domain: developer-tools. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Trace a failing unit test. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001528", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "python", "difficulty": "easy", "title": "Review an async worker", "domain": "infra", "user_story": "An async task uses blocking I/O in the event loop; suggest a safer pattern.", "repo_context": "Repo: chat-agent. Domain: infra. Python backend with API handlers and background workers.", "instruction": "Review the code for: Review an async worker. Call out risks and give a practical improvement plan.", "reference_solution": "Flag correctness, performance, maintainability, and security concerns. Recommend the smallest safe refactor.", "evaluation": {"checks": ["risk identified", "actionable fix", "production awareness"]}, "tags": ["agentic", "coding", "code_review", "python", "infra", "persian-friendly"]}
{"id": "JT3K-002519", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "sql", "difficulty": "easy", "title": "Plan migration checks", "domain": "infra", "user_story": "Inspect tables, compare counts, run a diff query, and validate migration impact.", "repo_context": "Repo: scheduler. Domain: infra. Agent workflow over SQL files and validation queries.", "instruction": "Create a tool-use plan for: Plan migration checks. Read schema, inspect query, run checks, and validate output.", "reference_solution": "Inspect schema first, isolate the grain, run a comparison query, then verify counts after the patch.", "evaluation": {"checks": ["schema first", "comparison query", "verification"]}, "tags": ["agentic", "coding", "tool_use", "sql", "infra", "persian-friendly"]}
{"id": "JT3K-001405", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-002914", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "javascript", "difficulty": "medium", "title": "Plan verify-edit cycle", "domain": "developer-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: auth-service. Domain: developer-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001478", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "typescript", "difficulty": "easy", "title": "Review a memoized component", "domain": "fintech", "user_story": "An over-memoized component hides actual prop changes.", "repo_context": "Repo: mobile-sdk. Domain: fintech. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review a memoized component. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "typescript", "fintech", "persian-friendly"]}
{"id": "JT3K-002587", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "javascript", "difficulty": "medium", "title": "Extract reusable hook", "domain": "creator-tools", "user_story": "Refactor repeated fetch logic into a custom React hook.", "repo_context": "Repo: auth-service. Domain: creator-tools. React components and shared logic in a frontend repo.", "instruction": "Refactor the following: Extract reusable hook. Reduce duplication and keep the public interface stable.", "reference_solution": "Extract a hook or utility, preserve props and return shape, and add tests around behavior.", "evaluation": {"checks": ["duplication removed", "interface stable", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "javascript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-000038", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "easy", "title": "Design client methods", "domain": "developer-tools", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: chat-agent. Domain: developer-tools. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000158", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "typescript", "difficulty": "easy", "title": "Plan verify-edit cycle", "domain": "creator-tools", "user_story": "Read component files, edit the smallest surface, run tests, and summarize outcome.", "repo_context": "Repo: dashboard-web. Domain: creator-tools. Agent workflow over frontend files, tests, and build output.", "instruction": "Create a tool plan for: Plan verify-edit cycle. Include inspect, edit, test, and verify steps.", "reference_solution": "Open the minimal file set, edit the affected component or hook, run targeted tests, then confirm build health.", "evaluation": {"checks": ["tool sequence", "minimal edit", "verification"]}, "tags": ["agentic", "coding", "tool_use", "typescript", "creator-tools", "persian-friendly"]}
{"id": "JT3K-001712", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "easy", "title": "Split a large function", "domain": "fintech", "user_story": "Refactor a 120-line data transformation function into small testable helpers.", "repo_context": "Repo: auth-service. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Split a large function. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000740", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "repo_understanding", "language": "python", "difficulty": "medium", "title": "Find hidden coupling", "domain": "saas", "user_story": "Inspect a Python package with utils, handlers, and workers; explain how retry logic affects job processing.", "repo_context": "Repo: auth-service. Domain: saas. Python service with app/, services/, repositories/, tests/.", "instruction": "Explain how this codebase handles the task: Find hidden coupling. Identify the files and modules most likely involved.", "reference_solution": "1. Start at the route/controller.\n2. Follow service layer calls.\n3. Check repository and schema modules.\n4. Verify tests that cover the flow.", "evaluation": {"checks": ["correct entry point", "correct data flow", "relevant files identified"]}, "tags": ["agentic", "coding", "repo_understanding", "python", "saas", "persian-friendly"]}
{"id": "JT3K-002953", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "python", "difficulty": "medium", "title": "Improve readability", "domain": "fintech", "user_story": "Rename ambiguous variables and simplify nested conditionals in a config loader.", "repo_context": "Repo: analytics-core. Domain: fintech. Python codebase with repeated helpers and service objects.", "instruction": "Refactor the following situation: Improve readability. Preserve behavior and reduce complexity.", "reference_solution": "Extract helpers, keep public API stable, add/adjust tests, and avoid mixing business logic with I/O.", "evaluation": {"checks": ["behavior preserved", "complexity reduced", "tests updated"]}, "tags": ["agentic", "coding", "refactor", "python", "fintech", "persian-friendly"]}
{"id": "JT3K-000829", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "sql", "difficulty": "medium", "title": "Simplify a report query", "domain": "saas", "user_story": "Refactor a deeply nested CTE chain for readability.", "repo_context": "Repo: chat-agent. Domain: saas. SQL queries with layered CTEs.", "instruction": "Refactor the query for: Simplify a report query. Make it easier to read without changing results.", "reference_solution": "Reduce nested CTE depth, standardize aliases, and keep one clear grain per step.", "evaluation": {"checks": ["readability", "stable results", "clear grain"]}, "tags": ["agentic", "coding", "refactor", "sql", "saas", "persian-friendly"]}
{"id": "JT3K-001139", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "healthtech", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: scheduler. Domain: healthtech. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002029", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "sql", "difficulty": "medium", "title": "Design audit tables", "domain": "healthtech", "user_story": "Design tables for tracking API events and change history.", "repo_context": "Repo: ml-pipeline. Domain: healthtech. Analytics schema design.", "instruction": "Design the tables or schema for: Design audit tables. Define keys, partitions, and audit columns.", "reference_solution": "Use surrogate keys, timestamps, source metadata, and clear fact/dimension separation.", "evaluation": {"checks": ["schema clarity", "scalability", "auditability"]}, "tags": ["agentic", "coding", "api_design", "sql", "healthtech", "persian-friendly"]}
{"id": "JT3K-002474", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "refactor", "language": "bash", "difficulty": "medium", "title": "Simplify script logic", "domain": "ecommerce", "user_story": "Refactor a long shell script into functions with clearer error handling.", "repo_context": "Repo: ecommerce-backend. Domain: ecommerce. Bash automation with functions and environment variables.", "instruction": "Refactor the script for: Simplify script logic. Reduce repetition and improve error handling.", "reference_solution": "Extract functions, use strict mode carefully, and keep reusable command pieces in variables.", "evaluation": {"checks": ["repetition reduced", "error handling", "maintainability"]}, "tags": ["agentic", "coding", "refactor", "bash", "ecommerce", "persian-friendly"]}
{"id": "JT3K-002101", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "javascript", "difficulty": "medium", "title": "Diagnose promise flow", "domain": "fintech", "user_story": "A promise chain swallows the original error and returns a misleading success.", "repo_context": "Repo: dashboard-web. Domain: fintech. Frontend app with hydration and async data flow.", "instruction": "Diagnose the issue: Diagnose promise flow. Explain likely cause and how to verify the fix.", "reference_solution": "Check server/client output mismatches, stale closures, promise handling, and state synchronization.", "evaluation": {"checks": ["root cause", "verification steps", "frontend-specific diagnosis"]}, "tags": ["agentic", "coding", "debug_trace", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000984", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "sql", "difficulty": "medium", "title": "Trace missing rows", "domain": "edtech", "user_story": "A dashboard shows missing records after a timezone conversion.", "repo_context": "Repo: cms-platform. Domain: edtech. SQL pipeline and dashboard queries.", "instruction": "Trace the data issue: Trace missing rows. Explain likely cause and how to verify the fix.", "reference_solution": "Check timezone conversion, join cardinality, and filters that remove expected rows.", "evaluation": {"checks": ["root cause", "data verification", "metric consistency"]}, "tags": ["agentic", "coding", "debug_trace", "sql", "edtech", "persian-friendly"]}
{"id": "JT3K-000575", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "bug_fix", "language": "javascript", "difficulty": "easy", "title": "Fix stale closure", "domain": "fintech", "user_story": "A hook callback reads old state after rapid updates; patch it.", "repo_context": "Repo: ecommerce-backend. Domain: fintech. React/Next.js application with hooks and server/client boundaries.", "instruction": "Fix this bug: Fix stale closure. Keep the change minimal and safe.", "reference_solution": "Guard missing values, avoid stale state, and keep server/client-only logic in the right layer.", "evaluation": {"checks": ["bug fixed", "safe boundary handling", "regression test suggested"]}, "tags": ["agentic", "coding", "bug_fix", "javascript", "fintech", "persian-friendly"]}
{"id": "JT3K-000173", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "javascript", "difficulty": "medium", "title": "Review an API client", "domain": "saas", "user_story": "The client mixes transport errors and business errors in one catch block.", "repo_context": "Repo: dashboard-web. Domain: saas. Frontend app with shared utilities and API wrappers.", "instruction": "Review the implementation for: Review an API client. Comment on correctness, UX, and maintainability.", "reference_solution": "Look for async race conditions, unnecessary re-renders, error handling gaps, and accessibility issues.", "evaluation": {"checks": ["quality issues found", "practical suggestions", "frontend concerns"]}, "tags": ["agentic", "coding", "code_review", "javascript", "saas", "persian-friendly"]}
{"id": "JT3K-000607", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "easy", "title": "Sequence tool calls", "domain": "edtech", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: auth-service. Domain: edtech. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "edtech", "persian-friendly"]}
{"id": "JT3K-001371", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tdd", "language": "python", "difficulty": "hard", "title": "Write tests before implementation", "domain": "developer-tools", "user_story": "Create unit tests for a discount calculator covering edge cases and rounding.", "repo_context": "Repo: chat-agent. Domain: developer-tools. Python package with pytest and typed functions.", "instruction": "Write a test-first plan for: Write tests before implementation. Include the key test cases before implementation.", "reference_solution": "Cover happy path, invalid input, boundaries, and failure modes. Keep tests deterministic and small.", "evaluation": {"checks": ["edge cases covered", "test names clear", "deterministic behavior"]}, "tags": ["agentic", "coding", "tdd", "python", "developer-tools", "persian-friendly"]}
{"id": "JT3K-001995", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "tool_use", "language": "python", "difficulty": "medium", "title": "Sequence tool calls", "domain": "ecommerce", "user_story": "Construct a tool-use plan for fixing an import error across multiple files.", "repo_context": "Repo: cms-platform. Domain: ecommerce. Agentic coding workflow with file reads, tests, and patches.", "instruction": "Create a tool-use plan for: Sequence tool calls. Include the ideal sequence of read, edit, test, and verify actions.", "reference_solution": "Read the relevant file set, inspect failure output, patch the narrowest surface, rerun targeted tests, then broaden checks.", "evaluation": {"checks": ["tool order sensible", "minimal edit strategy", "verification included"]}, "tags": ["agentic", "coding", "tool_use", "python", "ecommerce", "persian-friendly"]}
{"id": "JT3K-000382", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "hard", "title": "Diagnose a race condition", "domain": "saas", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: scheduler. Domain: saas. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "saas", "persian-friendly"]}
{"id": "JT3K-001704", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "debug_trace", "language": "python", "difficulty": "easy", "title": "Diagnose a race condition", "domain": "infra", "user_story": "Two concurrent requests occasionally overwrite each other in a cache-backed flow.", "repo_context": "Repo: ecommerce-backend. Domain: infra. Python service with logs, stack traces, and tests.", "instruction": "Diagnose this failure: Diagnose a race condition. Provide the most likely cause and the verification steps.", "reference_solution": "Read the stack trace, identify the failing boundary, isolate shared state or missing key paths, then add a regression test.", "evaluation": {"checks": ["root cause", "debug steps", "verification plan"]}, "tags": ["agentic", "coding", "debug_trace", "python", "infra", "persian-friendly"]}
{"id": "JT3K-001027", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "code_review", "language": "sql", "difficulty": "easy", "title": "Review a reporting query", "domain": "developer-tools", "user_story": "The query is correct but slow due to an unbounded scan and unnecessary subquery.", "repo_context": "Repo: dashboard-web. Domain: developer-tools. SQL reporting and ETL jobs.", "instruction": "Review the SQL for: Review a reporting query. Identify correctness and performance risks.", "reference_solution": "Flag full scans, unnecessary CTEs, non-sargable filters, and inconsistent joins.", "evaluation": {"checks": ["performance risk", "logic risk", "clear recommendation"]}, "tags": ["agentic", "coding", "code_review", "sql", "developer-tools", "persian-friendly"]}
{"id": "JT3K-000673", "dataset": "JumpTrace-3K", "brand": "JumpTrace-3K — Agentic Coding Traces for Modern Software Engineering", "task_type": "api_design", "language": "javascript", "difficulty": "medium", "title": "Design client methods", "domain": "ecommerce", "user_story": "Design a TypeScript client for search, pagination, and retries.", "repo_context": "Repo: ml-pipeline. Domain: ecommerce. TypeScript client or Node API layer.", "instruction": "Design a TypeScript API for: Design client methods. Define method names, inputs, and return types.", "reference_solution": "Prefer explicit types, typed errors, pagination support, and composable options objects.", "evaluation": {"checks": ["typed contract", "clear ergonomics", "extensibility"]}, "tags": ["agentic", "coding", "api_design", "javascript", "ecommerce", "persian-friendly"]}